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For given data $(t_i ,y_i ),i = 1, \cdots ,m$, we consider the least squares fit of nonlinear models of the form \[ \eta ({\bf a},{\boldsymbol \alpha} ;t) = \sum … For given data $(t_i ,y_i ),i = 1, \cdots ,m$, we consider the least squares fit of nonlinear models of the form \[ \eta ({\bf a},{\boldsymbol \alpha} ;t) = \sum _{j = 1}^n {a_j \varphi _j ({\boldsymbol \alpha} ;t),\qquad {\bf a} \in \mathcal{R}^n ,\qquad {\boldsymbol \alpha} \in \mathcal{R}^k .} \] For this purpose we study the minimization of the nonlinear functional \[ r({\bf a},{\boldsymbol \alpha} ) = \sum\limits_{i = 1}^m {\left( {y_i - \eta \left( {{\bf a},{\boldsymbol \alpha} ,t_i } \right)} \right)^2 } . \] It is shown that by defining the matrix $\{ {\bf \Phi} ({\boldsymbol \alpha} )\} _{i,j} = \varphi _j ({\boldsymbol \alpha} ;t_i )$, and the modified functional $r_2 ({\boldsymbol \alpha} ) = \| {\bf y} - {\bf \Phi} ({\boldsymbol \alpha} ){\bf \Phi} ^ + ({\boldsymbol \alpha} ){\bf y} \|_2^2 $, it is possible to optimize first with respect to the parameters ${\boldsymbol \alpha} $, and then to obtain, a posteriors, the optimal parameters $\bf {\hat a}$. The matrix ${\bf \Phi} ^ + ({\boldsymbol{\alpha}} )$ is the Moore–Penrose generalized inverse of ${\bf \Phi} ({\boldsymbol{\alpha}} )$. We develop formulas for the Frechet derivative of orthogonal projectors associated with ${\bf \Phi} ({\boldsymbol{\alpha}} )$ and also for ${\bf \Phi} ^ + ({\boldsymbol{\alpha}} )$, under the hypothesis that ${\bf \Phi} ({\boldsymbol{\alpha}} )$ is of constant (though not necessarily full) rank. Detailed algorithms are presented which make extensive use of well-known reliable linear least squares techniques, and numerical results and comparisons are given. These results are generalizations of those of H. D. Scolnik [20] and Guttman, Pereyra and Scolnik [9].
We obtain in this paper a considerable improvement over a method developed earlier by Ballester and Pereyra for the solution of systems of linear equations with Vandermonde matrices of coefficients. … We obtain in this paper a considerable improvement over a method developed earlier by Ballester and Pereyra for the solution of systems of linear equations with Vandermonde matrices of coefficients. This is achieved by observing that a part of the earlier algorithm is equivalent to Newton’s interpolation method. This allows also to produce a progressive algorithm which is significantly more efficient than previous available methods. Algol-60 programs and numerical results are included. Confluent Vandermonde systems are also briefly discussed.
A variable order finite difference solver for first order nonlinear systems subject to two-point boundary conditions is described. The method uses deferred corrections and adaptive meshes are automatically produced in … A variable order finite difference solver for first order nonlinear systems subject to two-point boundary conditions is described. The method uses deferred corrections and adaptive meshes are automatically produced in order to detect and resolve mild boundary layers and other sharp gradient situations. A set of numerical examples solved with an implementation of the algorithm is presented, together with comparisons with several other codes.
An adaptive finite difference method for first order nonlinear systems of ordinary differential equations subject to multipoint nonlinear boundary conditions is presented. The method is based on a discretization studied … An adaptive finite difference method for first order nonlinear systems of ordinary differential equations subject to multipoint nonlinear boundary conditions is presented. The method is based on a discretization studied earlier by H. B. Keller. Variable order is provided through deferred corrections, while a built-in natural asymptotic estimator is used to automatically refine the mesh in order to achieve a required tolerance. Extensive numerical experimentation and a FORTRAN program are included.
Acceleration techniques f o r discretization algorithms u s e d in t h e approximate solution of nonlinear operator equations are considered.Practical problems arising in the solution of large … Acceleration techniques f o r discretization algorithms u s e d in t h e approximate solution of nonlinear operator equations are considered.Practical problems arising in the solution of large systems of nonlinear algebraic equations are discussed.These techniques are applied t o t h e approximate solution of mildly nonlinear elliptic equations by finite differences, and s e v e r a l numerical examples are given.
In many technical applications it is desired to f i t a nonlinear model t o a s e t of observations.t o determine a b e s t s … In many technical applications it is desired to f i t a nonlinear model t o a s e t of observations.t o determine a b e s t s e t of parameters in the l e a s t squares s e n s e . Several iterative techniques have been devised i n orderIn t h i s paper w e d i s c u s s conditions for convergence, and give error e s t i m a t e s for a c l a s s of methods, which includes as particular c a s e s some well known techniques.modified Newton's iterations for a suitable functional equation, and then a general theorem, first indicated by Bartle, is proved and applied to this particular case.The hypotheses are s e t in such a w a y that their checking by a n automatic computer i s made possible.It is shown t h a t those methods c a n be considered a s Some numerical examples are given.The main aim is to show that t h e automatic error estimation procedure works, rather than attempting t o optimize the computational s c h e m e .
The objective of this paper is twofold: (a) To make it possible to perform matrix-vector operations in tensor product spaces, using only the factors (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n dot … The objective of this paper is twofold: (a) To make it possible to perform matrix-vector operations in tensor product spaces, using only the factors (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n dot p squared"> <mml:semantics> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>⋅<!-- ⋅ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>p</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:mrow> <mml:annotation encoding="application/x-tex">n \cdot {p^2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> words of information for <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="circled-times upper A Subscript i Baseline comma upper A Subscript i Baseline element-of script upper L left-parenthesis upper E Superscript p Baseline comma upper E Superscript p Baseline right-parenthesis"> <mml:semantics> <mml:mrow> <mml:msubsup> <mml:mo>⊗<!-- ⊗ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi>i</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> <mml:mi>n</mml:mi> </mml:msubsup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> <mml:mo>,</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> <mml:mo>∈<!-- ∈ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi class="MJX-tex-caligraphic" mathvariant="script">L</mml:mi> </mml:mrow> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>E</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:mrow> <mml:mo>,</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>E</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">\otimes _{i = 1}^n{A_i},{A_i} \in \mathcal {L}({E^p},{E^p})</mml:annotation> </mml:semantics> </mml:math> </inline-formula>) instead of the tensor-product operators themselves (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="left-parenthesis p squared right-parenthesis Superscript n"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>p</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> <mml:msup> <mml:mo stretchy="false">)</mml:mo> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{({p^2})^n}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> words of information). (b) To produce efficient algorithms for solving systems of linear equations with coefficient matrices being tensor products of nonsingular matrices, with special application to the approximation of multidimensional linear functionals.
Tables of coefficients for high order accurate, compact approximations to the first ten derivatives on and at the midpoints of uniform nets are presented. The exact rational weights are generated … Tables of coefficients for high order accurate, compact approximations to the first ten derivatives on and at the midpoints of uniform nets are presented. The exact rational weights are generated and tested by means of symbolic manipulation implemented through MACSYMA. These weights are required in the application of deferred corrections to new methods for solving higher order two point boundary value problems.
Recently several algorithms have been proposed for solving separable nonlinear least squares problems which use the explicit coupling between the linear and nonlinear variables to define a new nonlinear least … Recently several algorithms have been proposed for solving separable nonlinear least squares problems which use the explicit coupling between the linear and nonlinear variables to define a new nonlinear least squares problem in the nonlinear variables only whose solution is the solution to the original problem. In this paper we extend these techniques to the separable nonlinear least squares problem subject to separable nonlinear equality constraints.
Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in R/sup n/. A second order accurate scheme is combined with … Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in R/sup n/. A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy. The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss. A convergence proof of his, previously not published, is given which shows that, for the interval size h, one of the methods has an accuracy of at least O(h/sup 5/./sup 5/) in L/sub 2/. The linear systems of algebraic equations are solved by a capacitance matrix method. The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods.
Highly accurate finite difference schemes are developed for Laplace’s equation with the Dirichlet boundary condition on general bounded regions in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper R Superscript n"> <mml:semantics> <mml:mrow … Highly accurate finite difference schemes are developed for Laplace’s equation with the Dirichlet boundary condition on general bounded regions in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper R Superscript n"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>R</mml:mi> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{R^n}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>. A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy. The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss. A convergence proof of his, previously not published, is given which shows that, for the interval size <italic>h</italic>, one of the methods has an accuracy of at least <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper O left-parenthesis h Superscript 5.5 Baseline right-parenthesis"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>h</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>5.5</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">O({h^{5.5}})</mml:annotation> </mml:semantics> </mml:math> </inline-formula> in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L 2"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">{L_2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>. The linear systems of algebraic equations are solved by a capacitance matrix method. The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods.
A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), … A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), and involves the minimization of a modified functional. The feature of minimizing this modified functional is that for a certain class of non-linear models, called the constant-coefficients case, only one half the parameters are involved initially. To find the estimators of the remaining parameters is straight forward and relatively easy. This new two step-procedure is shown to be equivalent to the over-all least squares procedure. We also discuss the case of a class of models called the variable coefficients class. For this case, we formulate a new algorithm for determining the estimators which makes use of approximate confidence regions for the parameters.
We discuss the origin, use and implementation of ray tracing methods for nonlinear inverse modelling problems associated with wave propagation phenomena. These methods have a long tradition in acoustic and … We discuss the origin, use and implementation of ray tracing methods for nonlinear inverse modelling problems associated with wave propagation phenomena. These methods have a long tradition in acoustic and elastodynamic wave propagation problems for various important applications, and they can surely be helpful in other realms, including electromagnetic wave propagation and diffusion dominated phenomena.
The method of Iterated Deferred Corrections, whose theory was developed by the author, is applied to the problems of the title. The necessary asymptotic expansions are obtained and the way … The method of Iterated Deferred Corrections, whose theory was developed by the author, is applied to the problems of the title. The necessary asymptotic expansions are obtained and the way in which the corrections are produced by means of numerical differentiation is described in detail. Numerical results and comparisons with the variationalsplines methods are given.
We apply black-box methods, i.e. where the performance of the method does not depend upon initial guesses, to extract excited-state energies from Euclidean-time hadron correlation functions. In particular, we extend … We apply black-box methods, i.e. where the performance of the method does not depend upon initial guesses, to extract excited-state energies from Euclidean-time hadron correlation functions. In particular, we extend the widely used effective-mass method to incorporate multiple correlation functions and produce effective-mass estimates for multiple excited states. In general, these excited-state effective masses will be determined by finding the roots of some polynomial. We demonstrate the method using sample lattice data to determine excited-state energies of the nucleon and compare the results to other energy-level finding techniques.
We define multidimensional Vandermonde matrices (MV) to be certain submatrices of Kronecker products of standard Vandermonde matrices. These MV matrices appear naturally in multidimensional problems of polynomial interpolation. An explicit … We define multidimensional Vandermonde matrices (MV) to be certain submatrices of Kronecker products of standard Vandermonde matrices. These MV matrices appear naturally in multidimensional problems of polynomial interpolation. An explicit algorithm is produced to solve systems of linear equations with MV matrices of coefficients. This is an extension of work of Stenger for the two-dimensional case. Numerical results for three-dimensional numerical differentiation are given.
Systems of linear equations arising from finite-difference discretization of two-point boundary value problems have coefficient matrices that are sparse, with most or all of the nonzeros clustered in blocks near … Systems of linear equations arising from finite-difference discretization of two-point boundary value problems have coefficient matrices that are sparse, with most or all of the nonzeros clustered in blocks near the main diagonal. Some efficiently vectorizable algorithms for factorizing these types of matrices and solving the corresponding linear systems are described. The relative effectiveness of the different algorithms varies according to the distribution of initial, final, and coupled end conditions. The techniques described can be extended to handle linear systems arising from other methods for two-point boundary value problems, such as multiple shooting and collocation. An application to seismic ray tracing is discussed.
Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in Rn.A second order accurate scheme is combined with a deferred … Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in Rn.A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy.The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss.A convergence proof of his, previously not published, is given which shows that, for the interval size h, one of the methods has an accuracy of at least 0(h ' ) in ¿j.The linear systems of algebraic equations are solved by a capacitance matrix method.The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods. Introduction.It is the purpose of this paper to develop some highly accurate finite difference methods for the Dirichlet problem for a general bounded region Í2 in Rn.The most accurate of these has an L. error of order at most h5S, see Section 4. Our basic schemes use the standard (2n + l)-point formula for the interior mesh points and are therefore only second order accurate.The increased accuracy is achieved by two steps of a deferred correction or Richardson extrapolation procedure.We also discuss the computer implementation of these methods in some detail.The use of deferred correction and Richardson extrapolation methods is justified by finding asymptotic expansions of the error.Wasow [20] has shown that no useful expansions of this kind exist if the boundary condition is approximated to a low order of accuracy.An obvious remedy for this problem, already mentioned by Wasow, is to use higher order interpolation or extrapolation formulas at any irregular mesh point, i.e. a mesh point in the open set £2 which fails to have all its next neighbors in the closure of Í2.Volkov [19] proposed the use of high order one-dimensional Lagrange polynomials for this purpose.Because of the change of sign of the interpolation coefficients the matrix representing the difference scheme will then, in general, not be of positive type.The standard convergence proof based on a discrete maximum principle, (see Forsythe and Wasow [71) will therefore generally not apply.But by allowing the use of values of the mesh functions many mesh lengths away from the boundary, Volkov succeeded in designing schemes with diagonally dominant matrices.His
A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), … A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), and involves the minimization of a modified functional. The feature of minimizing this modified functional is that for a certain class of non-linear models, called the constant-coefficients case, only one half the parameters are involved initially. To find the estimators of the remaining parameters is straight forward and relatively easy. This new two step-procedure is shown to be equivalent to the over-all least squares procedure. We also discuss the case of a class of models called the variable coefficients class. For this case, we formulate a new algorithm for determining the estimators which makes use of approximate confidence regions for the parameters.
Repeated simulations of large scale wave propagation problems are prevalent in many fields. In oil exploration earth imaging problems, the use of full wave simulations is becoming routine and it … Repeated simulations of large scale wave propagation problems are prevalent in many fields. In oil exploration earth imaging problems, the use of full wave simulations is becoming routine and it is only hampered by the extreme computational resources required. In this contribution, we explore the feasibility of employing reduced-order modeling techniques in an attempt to significantly decrease the cost of these calculations. We consider the acoustic wave equation in two-dimensions for simplicity, but the extension to three-dimensions and to elastic or even anysotropic problems is clear. We use the proper orthogonal decomposition approach to model order reduction and describe two algorithms: the traditional one using the SVD of the matrix of snapshots and a more economical and flexible one using a progressive QR decomposition. We include also two a posteriori error estimation procedures and extensive testing and validation is presented that indicates the promise of the approach.
An algorithm for generating d i s c r e t e approximations i n terms of ordinates for linear differential expressions is d e scribed.A s a n application … An algorithm for generating d i s c r e t e approximations i n terms of ordinates for linear differential expressions is d e scribed.A s a n application a complement to a table of numerical differentiation by Bickley is presented.
The numerical solution of ray tracing problems in complex 3D media is considered in this paper that reviews some of the work and applications in which the author and his … The numerical solution of ray tracing problems in complex 3D media is considered in this paper that reviews some of the work and applications in which the author and his collaborators have been engaged in the past few years. The paper is not a survey but rather tries to point out what are the main issues common to many applications and how we have attacked the problem and implemented computational tools with general applicability to such disparate fields as earthquake seismology, oil prospecting, and nondestructive evaluation of complex mechanical parts.
Repeated simulations of large scale wave propagation problems are prevalent in many fields. In oil exploration earth imaging problems, the use of full wave simulations is becoming routine and it … Repeated simulations of large scale wave propagation problems are prevalent in many fields. In oil exploration earth imaging problems, the use of full wave simulations is becoming routine and it is only hampered by the extreme computational resources required. In this contribution, we explore the feasibility of employing reduced-order modeling techniques in an attempt to significantly decrease the cost of these calculations. We consider the acoustic wave equation in two-dimensions for simplicity, but the extension to three-dimensions and to elastic or even anysotropic problems is clear. We use the proper orthogonal decomposition approach to model order reduction and describe two algorithms: the traditional one using the SVD of the matrix of snapshots and a more economical and flexible one using a progressive QR decomposition. We include also two a posteriori error estimation procedures and extensive testing and validation is presented that indicates the promise of the approach.
We apply black-box methods, i.e. where the performance of the method does not depend upon initial guesses, to extract excited-state energies from Euclidean-time hadron correlation functions. In particular, we extend … We apply black-box methods, i.e. where the performance of the method does not depend upon initial guesses, to extract excited-state energies from Euclidean-time hadron correlation functions. In particular, we extend the widely used effective-mass method to incorporate multiple correlation functions and produce effective-mass estimates for multiple excited states. In general, these excited-state effective masses will be determined by finding the roots of some polynomial. We demonstrate the method using sample lattice data to determine excited-state energies of the nucleon and compare the results to other energy-level finding techniques.
We discuss the origin, use and implementation of ray tracing methods for nonlinear inverse modelling problems associated with wave propagation phenomena. These methods have a long tradition in acoustic and … We discuss the origin, use and implementation of ray tracing methods for nonlinear inverse modelling problems associated with wave propagation phenomena. These methods have a long tradition in acoustic and elastodynamic wave propagation problems for various important applications, and they can surely be helpful in other realms, including electromagnetic wave propagation and diffusion dominated phenomena.
Systems of linear equations arising from finite-difference discretization of two-point boundary value problems have coefficient matrices that are sparse, with most or all of the nonzeros clustered in blocks near … Systems of linear equations arising from finite-difference discretization of two-point boundary value problems have coefficient matrices that are sparse, with most or all of the nonzeros clustered in blocks near the main diagonal. Some efficiently vectorizable algorithms for factorizing these types of matrices and solving the corresponding linear systems are described. The relative effectiveness of the different algorithms varies according to the distribution of initial, final, and coupled end conditions. The techniques described can be extended to handle linear systems arising from other methods for two-point boundary value problems, such as multiple shooting and collocation. An application to seismic ray tracing is discussed.
Recently several algorithms have been proposed for solving separable nonlinear least squares problems which use the explicit coupling between the linear and nonlinear variables to define a new nonlinear least … Recently several algorithms have been proposed for solving separable nonlinear least squares problems which use the explicit coupling between the linear and nonlinear variables to define a new nonlinear least squares problem in the nonlinear variables only whose solution is the solution to the original problem. In this paper we extend these techniques to the separable nonlinear least squares problem subject to separable nonlinear equality constraints.
Tables of coefficients for high order accurate, compact approximations to the first ten derivatives on and at the midpoints of uniform nets are presented. The exact rational weights are generated … Tables of coefficients for high order accurate, compact approximations to the first ten derivatives on and at the midpoints of uniform nets are presented. The exact rational weights are generated and tested by means of symbolic manipulation implemented through MACSYMA. These weights are required in the application of deferred corrections to new methods for solving higher order two point boundary value problems.
A variable order finite difference solver for first order nonlinear systems subject to two-point boundary conditions is described. The method uses deferred corrections and adaptive meshes are automatically produced in … A variable order finite difference solver for first order nonlinear systems subject to two-point boundary conditions is described. The method uses deferred corrections and adaptive meshes are automatically produced in order to detect and resolve mild boundary layers and other sharp gradient situations. A set of numerical examples solved with an implementation of the algorithm is presented, together with comparisons with several other codes.
Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in Rn.A second order accurate scheme is combined with a deferred … Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in Rn.A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy.The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss.A convergence proof of his, previously not published, is given which shows that, for the interval size h, one of the methods has an accuracy of at least 0(h ' ) in ¿j.The linear systems of algebraic equations are solved by a capacitance matrix method.The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods. Introduction.It is the purpose of this paper to develop some highly accurate finite difference methods for the Dirichlet problem for a general bounded region Í2 in Rn.The most accurate of these has an L. error of order at most h5S, see Section 4. Our basic schemes use the standard (2n + l)-point formula for the interior mesh points and are therefore only second order accurate.The increased accuracy is achieved by two steps of a deferred correction or Richardson extrapolation procedure.We also discuss the computer implementation of these methods in some detail.The use of deferred correction and Richardson extrapolation methods is justified by finding asymptotic expansions of the error.Wasow [20] has shown that no useful expansions of this kind exist if the boundary condition is approximated to a low order of accuracy.An obvious remedy for this problem, already mentioned by Wasow, is to use higher order interpolation or extrapolation formulas at any irregular mesh point, i.e. a mesh point in the open set £2 which fails to have all its next neighbors in the closure of Í2.Volkov [19] proposed the use of high order one-dimensional Lagrange polynomials for this purpose.Because of the change of sign of the interpolation coefficients the matrix representing the difference scheme will then, in general, not be of positive type.The standard convergence proof based on a discrete maximum principle, (see Forsythe and Wasow [71) will therefore generally not apply.But by allowing the use of values of the mesh functions many mesh lengths away from the boundary, Volkov succeeded in designing schemes with diagonally dominant matrices.His
Highly accurate finite difference schemes are developed for Laplace’s equation with the Dirichlet boundary condition on general bounded regions in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper R Superscript n"> <mml:semantics> <mml:mrow … Highly accurate finite difference schemes are developed for Laplace’s equation with the Dirichlet boundary condition on general bounded regions in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper R Superscript n"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>R</mml:mi> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{R^n}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>. A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy. The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss. A convergence proof of his, previously not published, is given which shows that, for the interval size <italic>h</italic>, one of the methods has an accuracy of at least <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper O left-parenthesis h Superscript 5.5 Baseline right-parenthesis"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>h</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>5.5</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">O({h^{5.5}})</mml:annotation> </mml:semantics> </mml:math> </inline-formula> in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L 2"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">{L_2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>. The linear systems of algebraic equations are solved by a capacitance matrix method. The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods.
Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in R/sup n/. A second order accurate scheme is combined with … Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in R/sup n/. A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy. The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss. A convergence proof of his, previously not published, is given which shows that, for the interval size h, one of the methods has an accuracy of at least O(h/sup 5/./sup 5/) in L/sub 2/. The linear systems of algebraic equations are solved by a capacitance matrix method. The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods.
An adaptive finite difference method for first order nonlinear systems of ordinary differential equations subject to multipoint nonlinear boundary conditions is presented. The method is based on a discretization studied … An adaptive finite difference method for first order nonlinear systems of ordinary differential equations subject to multipoint nonlinear boundary conditions is presented. The method is based on a discretization studied earlier by H. B. Keller. Variable order is provided through deferred corrections, while a built-in natural asymptotic estimator is used to automatically refine the mesh in order to achieve a required tolerance. Extensive numerical experimentation and a FORTRAN program are included.
A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), … A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), and involves the minimization of a modified functional. The feature of minimizing this modified functional is that for a certain class of non-linear models, called the constant-coefficients case, only one half the parameters are involved initially. To find the estimators of the remaining parameters is straight forward and relatively easy. This new two step-procedure is shown to be equivalent to the over-all least squares procedure. We also discuss the case of a class of models called the variable coefficients class. For this case, we formulate a new algorithm for determining the estimators which makes use of approximate confidence regions for the parameters.
A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), … A new method for determining least squares estimators for certain classes of non- linear models is discussed. The method is an extension of a variable projection method of Scolnik (1970), and involves the minimization of a modified functional. The feature of minimizing this modified functional is that for a certain class of non-linear models, called the constant-coefficients case, only one half the parameters are involved initially. To find the estimators of the remaining parameters is straight forward and relatively easy. This new two step-procedure is shown to be equivalent to the over-all least squares procedure. We also discuss the case of a class of models called the variable coefficients class. For this case, we formulate a new algorithm for determining the estimators which makes use of approximate confidence regions for the parameters.
For given data $(t_i ,y_i ),i = 1, \cdots ,m$, we consider the least squares fit of nonlinear models of the form \[ \eta ({\bf a},{\boldsymbol \alpha} ;t) = \sum … For given data $(t_i ,y_i ),i = 1, \cdots ,m$, we consider the least squares fit of nonlinear models of the form \[ \eta ({\bf a},{\boldsymbol \alpha} ;t) = \sum _{j = 1}^n {a_j \varphi _j ({\boldsymbol \alpha} ;t),\qquad {\bf a} \in \mathcal{R}^n ,\qquad {\boldsymbol \alpha} \in \mathcal{R}^k .} \] For this purpose we study the minimization of the nonlinear functional \[ r({\bf a},{\boldsymbol \alpha} ) = \sum\limits_{i = 1}^m {\left( {y_i - \eta \left( {{\bf a},{\boldsymbol \alpha} ,t_i } \right)} \right)^2 } . \] It is shown that by defining the matrix $\{ {\bf \Phi} ({\boldsymbol \alpha} )\} _{i,j} = \varphi _j ({\boldsymbol \alpha} ;t_i )$, and the modified functional $r_2 ({\boldsymbol \alpha} ) = \| {\bf y} - {\bf \Phi} ({\boldsymbol \alpha} ){\bf \Phi} ^ + ({\boldsymbol \alpha} ){\bf y} \|_2^2 $, it is possible to optimize first with respect to the parameters ${\boldsymbol \alpha} $, and then to obtain, a posteriors, the optimal parameters $\bf {\hat a}$. The matrix ${\bf \Phi} ^ + ({\boldsymbol{\alpha}} )$ is the Moore–Penrose generalized inverse of ${\bf \Phi} ({\boldsymbol{\alpha}} )$. We develop formulas for the Frechet derivative of orthogonal projectors associated with ${\bf \Phi} ({\boldsymbol{\alpha}} )$ and also for ${\bf \Phi} ^ + ({\boldsymbol{\alpha}} )$, under the hypothesis that ${\bf \Phi} ({\boldsymbol{\alpha}} )$ is of constant (though not necessarily full) rank. Detailed algorithms are presented which make extensive use of well-known reliable linear least squares techniques, and numerical results and comparisons are given. These results are generalizations of those of H. D. Scolnik [20] and Guttman, Pereyra and Scolnik [9].
The objective of this paper is twofold: (a) To make it possible to perform matrix-vector operations in tensor product spaces, using only the factors (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n dot … The objective of this paper is twofold: (a) To make it possible to perform matrix-vector operations in tensor product spaces, using only the factors (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n dot p squared"> <mml:semantics> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>⋅<!-- ⋅ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>p</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:mrow> <mml:annotation encoding="application/x-tex">n \cdot {p^2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> words of information for <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="circled-times upper A Subscript i Baseline comma upper A Subscript i Baseline element-of script upper L left-parenthesis upper E Superscript p Baseline comma upper E Superscript p Baseline right-parenthesis"> <mml:semantics> <mml:mrow> <mml:msubsup> <mml:mo>⊗<!-- ⊗ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi>i</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> <mml:mi>n</mml:mi> </mml:msubsup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> <mml:mo>,</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> <mml:mo>∈<!-- ∈ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi class="MJX-tex-caligraphic" mathvariant="script">L</mml:mi> </mml:mrow> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>E</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:mrow> <mml:mo>,</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>E</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">\otimes _{i = 1}^n{A_i},{A_i} \in \mathcal {L}({E^p},{E^p})</mml:annotation> </mml:semantics> </mml:math> </inline-formula>) instead of the tensor-product operators themselves (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="left-parenthesis p squared right-parenthesis Superscript n"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>p</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> <mml:msup> <mml:mo stretchy="false">)</mml:mo> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{({p^2})^n}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> words of information). (b) To produce efficient algorithms for solving systems of linear equations with coefficient matrices being tensor products of nonsingular matrices, with special application to the approximation of multidimensional linear functionals.
We obtain in this paper a considerable improvement over a method developed earlier by Ballester and Pereyra for the solution of systems of linear equations with Vandermonde matrices of coefficients. … We obtain in this paper a considerable improvement over a method developed earlier by Ballester and Pereyra for the solution of systems of linear equations with Vandermonde matrices of coefficients. This is achieved by observing that a part of the earlier algorithm is equivalent to Newton’s interpolation method. This allows also to produce a progressive algorithm which is significantly more efficient than previous available methods. Algol-60 programs and numerical results are included. Confluent Vandermonde systems are also briefly discussed.
We define multidimensional Vandermonde matrices (MV) to be certain submatrices of Kronecker products of standard Vandermonde matrices. These MV matrices appear naturally in multidimensional problems of polynomial interpolation. An explicit … We define multidimensional Vandermonde matrices (MV) to be certain submatrices of Kronecker products of standard Vandermonde matrices. These MV matrices appear naturally in multidimensional problems of polynomial interpolation. An explicit algorithm is produced to solve systems of linear equations with MV matrices of coefficients. This is an extension of work of Stenger for the two-dimensional case. Numerical results for three-dimensional numerical differentiation are given.
The method of Iterated Deferred Corrections, whose theory was developed by the author, is applied to the problems of the title. The necessary asymptotic expansions are obtained and the way … The method of Iterated Deferred Corrections, whose theory was developed by the author, is applied to the problems of the title. The necessary asymptotic expansions are obtained and the way in which the corrections are produced by means of numerical differentiation is described in detail. Numerical results and comparisons with the variationalsplines methods are given.
The numerical solution of ray tracing problems in complex 3D media is considered in this paper that reviews some of the work and applications in which the author and his … The numerical solution of ray tracing problems in complex 3D media is considered in this paper that reviews some of the work and applications in which the author and his collaborators have been engaged in the past few years. The paper is not a survey but rather tries to point out what are the main issues common to many applications and how we have attacked the problem and implemented computational tools with general applicability to such disparate fields as earthquake seismology, oil prospecting, and nondestructive evaluation of complex mechanical parts.
Acceleration techniques f o r discretization algorithms u s e d in t h e approximate solution of nonlinear operator equations are considered.Practical problems arising in the solution of large … Acceleration techniques f o r discretization algorithms u s e d in t h e approximate solution of nonlinear operator equations are considered.Practical problems arising in the solution of large systems of nonlinear algebraic equations are discussed.These techniques are applied t o t h e approximate solution of mildly nonlinear elliptic equations by finite differences, and s e v e r a l numerical examples are given.
An algorithm for generating d i s c r e t e approximations i n terms of ordinates for linear differential expressions is d e scribed.A s a n application … An algorithm for generating d i s c r e t e approximations i n terms of ordinates for linear differential expressions is d e scribed.A s a n application a complement to a table of numerical differentiation by Bickley is presented.
In many technical applications it is desired to f i t a nonlinear model t o a s e t of observations.t o determine a b e s t s … In many technical applications it is desired to f i t a nonlinear model t o a s e t of observations.t o determine a b e s t s e t of parameters in the l e a s t squares s e n s e . Several iterative techniques have been devised i n orderIn t h i s paper w e d i s c u s s conditions for convergence, and give error e s t i m a t e s for a c l a s s of methods, which includes as particular c a s e s some well known techniques.modified Newton's iterations for a suitable functional equation, and then a general theorem, first indicated by Bartle, is proved and applied to this particular case.The hypotheses are s e t in such a w a y that their checking by a n automatic computer i s made possible.It is shown t h a t those methods c a n be considered a s Some numerical examples are given.The main aim is to show that t h e automatic error estimation procedure works, rather than attempting t o optimize the computational s c h e m e .
We show that each isolated solution, $y(t)$, of the general nonlinear two-point boundary value problem $( * ):y' = f(t,y),a < t < b,g(y(a),y(b)) = 0$ can be approximated by … We show that each isolated solution, $y(t)$, of the general nonlinear two-point boundary value problem $( * ):y' = f(t,y),a < t < b,g(y(a),y(b)) = 0$ can be approximated by the (box) difference scheme $( * * ):{{[u_j - u_{j - 1} ]} / {h_j }} = f(t_{{{j - 1} 2}} ,{{[u_j + u_{j - 1} ]} / 2}),\, 1 \leqq j \leqq J,\, g(u_0 ,u_J ) = 0$. For $h = \max _{1 \leqq j \leqq J} h_j $ sufficiently small, the difference equations (**) are shown to have a unique solution $\{ u_j \} _0^J $ in some sphere about $\{ y(t_j )\} _0^J $, and it can be computed by Newton's method which converges quadratically. If $y(t)$ is sufficiently smooth, then the error has an asymptotic expansion of the form $u_j - y(t_j ) = \sum _{v = 1}^m {h^{2v} e_v (t_j ) + O(h^{2m + 2} )} $, so that Richardson extrapolation is justified. The coefficient matrices of the linear systems to be solved in applying Newton's method are of order $n(J + 1)$ when $y(t) \in \mathbb{R}^n $. For separated endpoint boundary conditions: $g_1 (y(a)) = 0,\, g_2 (y(b)) = 0$ with $\dim g_1 = p,\dim g_2 = q$ and $p + q = n$, the coefficient matrices have the special block tridiagonal form $A \equiv [B_j ,A_j ,C_j ]$ in which the $n \times n$ matrices $B_j (C_j )$ have their last q (first p) rows null. Block elimination and band elimination without destroying the zero pattern are shown to be valid. The numerical scheme is very efficient, as a worked out example illustrates.
We obtain in this paper a considerable improvement over a method developed earlier by Ballester and Pereyra for the solution of systems of linear equations with Vandermonde matrices of coefficients. … We obtain in this paper a considerable improvement over a method developed earlier by Ballester and Pereyra for the solution of systems of linear equations with Vandermonde matrices of coefficients. This is achieved by observing that a part of the earlier algorithm is equivalent to Newton’s interpolation method. This allows also to produce a progressive algorithm which is significantly more efficient than previous available methods. Algol-60 programs and numerical results are included. Confluent Vandermonde systems are also briefly discussed.
A variable order finite difference solver for first order nonlinear systems subject to two-point boundary conditions is described. The method uses deferred corrections and adaptive meshes are automatically produced in … A variable order finite difference solver for first order nonlinear systems subject to two-point boundary conditions is described. The method uses deferred corrections and adaptive meshes are automatically produced in order to detect and resolve mild boundary layers and other sharp gradient situations. A set of numerical examples solved with an implementation of the algorithm is presented, together with comparisons with several other codes.
An adaptive finite difference method for first order nonlinear systems of ordinary differential equations subject to multipoint nonlinear boundary conditions is presented. The method is based on a discretization studied … An adaptive finite difference method for first order nonlinear systems of ordinary differential equations subject to multipoint nonlinear boundary conditions is presented. The method is based on a discretization studied earlier by H. B. Keller. Variable order is provided through deferred corrections, while a built-in natural asymptotic estimator is used to automatically refine the mesh in order to achieve a required tolerance. Extensive numerical experimentation and a FORTRAN program are included.
Acceleration techniques f o r discretization algorithms u s e d in t h e approximate solution of nonlinear operator equations are considered.Practical problems arising in the solution of large … Acceleration techniques f o r discretization algorithms u s e d in t h e approximate solution of nonlinear operator equations are considered.Practical problems arising in the solution of large systems of nonlinear algebraic equations are discussed.These techniques are applied t o t h e approximate solution of mildly nonlinear elliptic equations by finite differences, and s e v e r a l numerical examples are given.
By Herbert B. Keller: pp. viii, 184. (Blaisdell Publishing Co. Waltham, Massachusets. 1968). By Herbert B. Keller: pp. viii, 184. (Blaisdell Publishing Co. Waltham, Massachusets. 1968).
Keywords: analyse ; methodes : numeriques ; equations : lineaires ; calcul : integral ; equations : differentielles Reference Record created on 2005-11-18, modified on 2016-08-08 Keywords: analyse ; methodes : numeriques ; equations : lineaires ; calcul : integral ; equations : differentielles Reference Record created on 2005-11-18, modified on 2016-08-08
The method of Iterated Deferred Corrections, whose theory was developed by the author, is applied to the problems of the title. The necessary asymptotic expansions are obtained and the way … The method of Iterated Deferred Corrections, whose theory was developed by the author, is applied to the problems of the title. The necessary asymptotic expansions are obtained and the way in which the corrections are produced by means of numerical differentiation is described in detail. Numerical results and comparisons with the variationalsplines methods are given.
Previous article Next article Accurate Difference Methods for Linear Ordinary Differential Systems Subject to Linear ConstraintsHerbert B. KellerHerbert B. Kellerhttps://doi.org/10.1137/0706002PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Earl A. Coddington and … Previous article Next article Accurate Difference Methods for Linear Ordinary Differential Systems Subject to Linear ConstraintsHerbert B. KellerHerbert B. Kellerhttps://doi.org/10.1137/0706002PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Earl A. Coddington and , Norman Levinson, Theory of ordinary differential equations, McGraw-Hill Book Company, Inc., New York-Toronto-London, 1955xii+429 MR0069338 0064.33002 Google Scholar[2] L. Fox, The numerical solution of two-point boundary problems in ordinary differential equations, Oxford University Press, New York, 1957xi+371 MR0102178 0077.11202 Google Scholar[3] William B. Gragg, On extrapolation algorithms for ordinary initial value problems, J. Soc. Indust. Appl. Math. Ser. B Numer. Anal., 2 (1965), 384–403 MR0202318 0135.37803 LinkGoogle Scholar[4] Peter Henrici, Discrete variable methods in ordinary differential equations, John Wiley & Sons Inc., New York, 1962xi+407 MR0135729 0112.34901 Google Scholar[5] E. L. Ince, Ordinary Differential Equations, Dover Publications, New York, 1944viii+558 MR0010757 0063.02971 Google Scholar[6] Eugene Isaacson and , Herbert Bishop Keller, Analysis of numerical methods, John Wiley & Sons Inc., New York, 1966xv+541 MR0201039 0168.13101 Google Scholar[7] Herbert B. Keller, Numerical methods for two-point boundary-value problems, Blaisdell Publishing Co. Ginn and Co., Waltham, Mass.-Toronto, Ont.-London, 1968viii+184 MR0230476 0172.19503 Google Scholar[8] Milton Lees, J. H. Bramble, Discrete methods for nonlinear two-point boundary value problemsNumerical Solution of Partial Differential Equations (Proc. Sympos. Univ. Maryland, 1965), Academic Press, New York, 1966, 59–72 MR0202323 0148.39206 Google Scholar[9] V. L. Pereyra, Highly accurate discrete methods for nonlinear problems, MRC Rep. 749, Mathematics Research Center, U.S. Army, University of Wisconsin, Madison, 1967 Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Well-posedness and analyticity of solutions to a water wave problem with viscosityJournal of Differential Equations, Vol. 265, No. 10 Cross Ref Heat Transfer in MHD Flow due to a Linearly Stretching Sheet with Induced Magnetic FieldAdvances in Mathematical Physics, Vol. 2018 Cross Ref On analyticity of linear waves scattered by a layered mediumJournal of Differential Equations, Vol. 263, No. 8 Cross Ref A high-order perturbation of surfaces method for scattering of linear waves by periodic multiply layered gratings in two and three dimensionsJournal of Computational Physics, Vol. 345 Cross Ref MHD flow due to a linearly stretching sheet with induced magnetic field21 May 2016 | Acta Mechanica, Vol. 227, No. 10 Cross Ref MHD Flow due to the Nonlinear Stretching of a Porous SheetAdvances in Mathematical Physics, Vol. 2016 Cross Ref My Limiting Behavior of MHD Flow with Hall Current, Due to a Porous Stretching SheetJournal of Applied Mathematics and Physics, Vol. 02, No. 05 Cross Ref Limiting behavior of MHD flow over a porous rotating disk with Hall currents17 December 2012 | ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Vol. 93, No. 9 Cross Ref MHD Flow with Hall Current and Ion-Slip Effects due to a Stretching Porous DiskJournal of Applied Mathematics, Vol. 2013 Cross Ref Comment on "Group solution of a time dependent chemical convective process" by M.M. 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B. Keller and V. Pereyra31 July 2006 | SIAM Journal on Numerical Analysis, Vol. 16, No. 2AbstractPDF (1891 KB)An accurate method for two-point boundary value problemsInternational Journal for Numerical Methods in Engineering, Vol. 14, No. 9 Cross Ref Pasva3: An adaptive finite difference fortran program for first order nonlinear, ordinary boundary problems25 May 2005 Cross Ref Discrete methods for boundary value problems with applications in plate deflection theoryZeitschrift für angewandte Mathematik und Physik ZAMP, Vol. 30, No. 1 Cross Ref Difference approximations to boundary value problems with deviating arguments24 August 2006 Cross Ref Midpoint difference method for analysing beam structuresComputers & Structures, Vol. 8, No. 6 Cross Ref Difference Approximations to Control Problems with Functional ArgumentsF. H. Mathis and G. W. Reddien18 July 2006 | SIAM Journal on Control and Optimization, Vol. 16, No. 3AbstractPDF (1367 KB)Difference approximations of boundary value problems for functional differential equationsJournal of Mathematical Analysis and Applications, Vol. 63, No. 3 Cross Ref A Numerical Method for Singular Two Point Boundary Value ProblemsD. C. Brabston and H. B. Keller14 July 2006 | SIAM Journal on Numerical Analysis, Vol. 14, No. 5AbstractPDF (1112 KB)Extrapolation with spline-collocation methods for two-point boundary-value problems I: Proposals and justificationsAequationes Mathematicae, Vol. 16, No. 1-2 Cross Ref A classification and survey of numerical methods for boundary value problems in ordinary differential equationsInternational Journal for Numerical Methods in Engineering, Vol. 11, No. 5 Cross Ref The numerical solution of boundary value problems for stiff differential equations1 January 1977 | Mathematics of Computation, Vol. 31, No. 137 Cross Ref A refinement process for collocation approximationsNumerische Mathematik, Vol. 26, No. 4 Cross Ref Alternate Row and Column Elimination for Solving Certain Linear SystemsJ. M. Varah14 July 2006 | SIAM Journal on Numerical Analysis, Vol. 13, No. 1AbstractPDF (371 KB)Numerical solution of hereditary control problems using necessary conditionsComputers & Mathematics with Applications, Vol. 2, No. 3-4 Cross Ref Difference Methods for Boundary Value Problems in Ordinary Differential EquationsH. B. Keller and A. B. White, Jr.14 July 2006 | SIAM Journal on Numerical Analysis, Vol. 12, No. 5AbstractPDF (918 KB)The Approximation of Linear Functionals and $h^2 $-ExtrapolationSteven Pruess17 February 2012 | SIAM Review, Vol. 17, No. 4AbstractPDF (1110 KB)Numerical Methods for Singular Boundary Value ProblemsR. D. Russell and L. F. Shampine14 July 2006 | SIAM Journal on Numerical Analysis, Vol. 12, No. 1AbstractPDF (2380 KB)A comparison of several invariant imbedding algorithms for the solution of two-point boundary-value problemsApplied Mathematics and Computation, Vol. 1, No. 3 Cross Ref NUMERICAL SOLUTION OF BOUNDARY VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS: SURVEY AND SOME RECENT RESULTS ON DIFFERENCE METHODS Cross Ref ON THE CONVERSION OF BOUNDARY-VALUE PROBLEMS INTO STABLE INITIAL-VALUE PROBLEMS VIA SEVERAL INVARIANT IMBEDDING ALGORITHMS**Work supported by the U. S. Atomic Energy Commission Cross Ref A TALE OF TWO METHODS FOR SOLVING TWO-POINT BOUNDARY VALUE PROBLEMS Cross Ref Approximation methods for nonlinear problems with application to two-point boundary value problems1 January 1975 | Mathematics of Computation, Vol. 29, No. 130 Cross Ref Optimal Few-Point Discretizations of Linear Source ProblemsGarrett; Birkhoff and Surender Gulati14 July 2006 | SIAM Journal on Numerical Analysis, Vol. 11, No. 4AbstractPDF (2367 KB)Mesh selection for discrete solution of boundary problems in ordinary differential equationsNumerische Mathematik, Vol. 23, No. 3 Cross Ref Accurate Difference Methods for Nonlinear Two-Point Boundary Value ProblemsHerbert B. Keller14 July 2006 | SIAM Journal on Numerical Analysis, Vol. 11, No. 2AbstractPDF (1293 KB)Collocation for systems of boundary value problemsNumerische Mathematik, Vol. 23, No. 2 Cross Ref Variable order variable step finite difference methods for nonlinear boundary value problems28 August 2006 Cross Ref The application of implicit Runge-Kutta and collection methods to boundary-value problems1 January 1974 | Mathematics of Computation, Vol. 28, No. 126 Cross Ref A comparison of some numerical methods for two-point boundary value problems1 January 1974 | Mathematics of Computation, Vol. 28, No. 127 Cross Ref A variable order finite difference method for nonlinear multipoint boundary value problems1 January 1974 | Mathematics of Computation, Vol. 28, No. 128 Cross Ref The convergence of shooting methodsBIT, Vol. 13, No. 4 Cross Ref An existence theorem for linear boundary value problems1 January 1973 | Quarterly of Applied Mathematics, Vol. 31, No. 1 Cross Ref A collocation method for boundary value problemsNumerische Mathematik, Vol. 19, No. 1 Cross Ref On the solution of block-tridiagonal systems arising from certain finite-difference equations1 January 1972 | Mathematics of Computation, Vol. 26, No. 120 Cross Ref Difference approximations for boundary and eigenvalue problems for ordinary differential equations1 January 1972 | Mathematics of Computation, Vol. 26, No. 119 Cross Ref Survey of Extrapolation Processes in Numerical AnalysisD. C. Joyce18 July 2006 | SIAM Review, Vol. 13, No. 4AbstractPDF (5385 KB)A NEW DIFFERENCE SCHEME FOR PARABOLIC PROBLEMS**This work was supported by the U. S. Army Research Office, Durham, under Contract DAHC 04-68-C-0006. Cross Ref Accurate numerical methods for boundary layer flows I. Two dimensional laminar flows Cross Ref Finite difference methods for ordinary boundary value problems Cross Ref Numerical methods for singular perturbation problems Cross Ref Volume 6, Issue 1| 1969SIAM Journal on Numerical Analysis History Submitted:12 August 1968Published online:14 July 2006 InformationCopyright © 1969 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/0706002Article page range:pp. 8-30ISSN (print):0036-1429ISSN (online):1095-7170Publisher:Society for Industrial and Applied Mathematics
Various adaptive mesh selection strategies for solving two-point boundary value problems are brought together and a limited comparison is made. The mesh strategies are applied using collocation methods, and a … Various adaptive mesh selection strategies for solving two-point boundary value problems are brought together and a limited comparison is made. The mesh strategies are applied using collocation methods, and a careful error analysis is made for some of them. A number of the observations and conclusions are valid for the other noninitial value type methods (and for more general differential equations). The effects of removing regions where the solution has been accurately computed and then separately solving on those regions for which the solution is still poor are investigated. After presenting several representative examples, some conclusions are drawn.
We define multidimensional Vandermonde matrices (MV) to be certain submatrices of Kronecker products of standard Vandermonde matrices. These MV matrices appear naturally in multidimensional problems of polynomial interpolation. An explicit … We define multidimensional Vandermonde matrices (MV) to be certain submatrices of Kronecker products of standard Vandermonde matrices. These MV matrices appear naturally in multidimensional problems of polynomial interpolation. An explicit algorithm is produced to solve systems of linear equations with MV matrices of coefficients. This is an extension of work of Stenger for the two-dimensional case. Numerical results for three-dimensional numerical differentiation are given.
Results obtained by using a fast Poisson solver to accelerate the rate of convergence of the iterative scheme are described. A fast iterative method for transonic flow calculations is formulated … Results obtained by using a fast Poisson solver to accelerate the rate of convergence of the iterative scheme are described. A fast iterative method for transonic flow calculations is formulated first, and then application is made to the transonic potential flow equation in a mapped domain. It is concluded that the use of a fast elliptic solver in combination with relaxation is an effective way to accelerate the convergence of transonic flow calculations, particularly when a marching scheme can be used to treat the supersonic zone in the relaxation process. 3 figures (RWR)
Solution of nonlinear two-point boundary-value problems is often an extremely difficult task. Quite apart from questions of reality and uniqueness, there is no established numerical technique for this problem. At … Solution of nonlinear two-point boundary-value problems is often an extremely difficult task. Quite apart from questions of reality and uniqueness, there is no established numerical technique for this problem. At present, shooting techniques are the easiest method of attacking these problems. When these fail, the more difficult method of finite differences can often be used to obtain a solution. This paper gives examples and discusses the finite difference method for nonlinear two-point boundary-value problems.
Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in R/sup n/. A second order accurate scheme is combined with … Highly accurate finite difference schemes are developed for Laplace's equation with the Dirichlet boundary condition on general bounded regions in R/sup n/. A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy. The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss. A convergence proof of his, previously not published, is given which shows that, for the interval size h, one of the methods has an accuracy of at least O(h/sup 5/./sup 5/) in L/sub 2/. The linear systems of algebraic equations are solved by a capacitance matrix method. The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods.
Highly accurate finite difference schemes are developed for Laplace’s equation with the Dirichlet boundary condition on general bounded regions in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper R Superscript n"> <mml:semantics> <mml:mrow … Highly accurate finite difference schemes are developed for Laplace’s equation with the Dirichlet boundary condition on general bounded regions in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper R Superscript n"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>R</mml:mi> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{R^n}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>. A second order accurate scheme is combined with a deferred correction or Richardson extrapolation method to increase the accuracy. The Dirichlet condition is approximated by a method suggested by Heinz-Otto Kreiss. A convergence proof of his, previously not published, is given which shows that, for the interval size <italic>h</italic>, one of the methods has an accuracy of at least <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper O left-parenthesis h Superscript 5.5 Baseline right-parenthesis"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>h</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>5.5</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">O({h^{5.5}})</mml:annotation> </mml:semantics> </mml:math> </inline-formula> in <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L 2"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">{L_2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>. The linear systems of algebraic equations are solved by a capacitance matrix method. The results of our numerical experiments show that highly accurate solutions are obtained with only a slight additional use of computer time when compared to the results obtained by second order accurate methods.
The objective of this paper is twofold: (a) To make it possible to perform matrix-vector operations in tensor product spaces, using only the factors (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n dot … The objective of this paper is twofold: (a) To make it possible to perform matrix-vector operations in tensor product spaces, using only the factors (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n dot p squared"> <mml:semantics> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>⋅<!-- ⋅ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>p</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> </mml:mrow> <mml:annotation encoding="application/x-tex">n \cdot {p^2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> words of information for <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="circled-times upper A Subscript i Baseline comma upper A Subscript i Baseline element-of script upper L left-parenthesis upper E Superscript p Baseline comma upper E Superscript p Baseline right-parenthesis"> <mml:semantics> <mml:mrow> <mml:msubsup> <mml:mo>⊗<!-- ⊗ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi>i</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> <mml:mi>n</mml:mi> </mml:msubsup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> <mml:mo>,</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> <mml:mo>∈<!-- ∈ --></mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi class="MJX-tex-caligraphic" mathvariant="script">L</mml:mi> </mml:mrow> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>E</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:mrow> <mml:mo>,</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>E</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">\otimes _{i = 1}^n{A_i},{A_i} \in \mathcal {L}({E^p},{E^p})</mml:annotation> </mml:semantics> </mml:math> </inline-formula>) instead of the tensor-product operators themselves (<inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="left-parenthesis p squared right-parenthesis Superscript n"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo stretchy="false">(</mml:mo> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>p</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> <mml:msup> <mml:mo stretchy="false">)</mml:mo> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{({p^2})^n}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> words of information). (b) To produce efficient algorithms for solving systems of linear equations with coefficient matrices being tensor products of nonsingular matrices, with special application to the approximation of multidimensional linear functionals.
Previous article Next article A Perturbation Technique for Nonlinear Two-Point Boundary Value ProblemsS. M. Roberts, J. S. Shipman, and W. J. EllisS. M. Roberts, J. S. Shipman, and W. J. … Previous article Next article A Perturbation Technique for Nonlinear Two-Point Boundary Value ProblemsS. M. Roberts, J. S. Shipman, and W. J. EllisS. M. Roberts, J. S. Shipman, and W. J. Ellishttps://doi.org/10.1137/0706032PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Richard Bellman, Perturbation techniques in mathematics, physics, and engineering, Holt, Rinehart and Winston, Inc., New York, 1964viii+118 MR0161003 Google Scholar[2] Richard E. Bellman and , Robert E. Kalaba, Quasilinearization and nonlinear boundary-value problems, Modern Analytic and Computional Methods in Science and Mathematics, Vol. 3, American Elsevier Publishing Co., Inc., New York, 1965ix+206 MR0178571 0139.10702 Google Scholar[3] F. A. Ficken, The continuation method for functional equations, Comm. Pure Appl. Math., 4 (1951), 435–456 MR0045308 0043.32202 CrossrefISIGoogle Scholar[4] T. R. Goodman and , G. N. Lance, The numerical integration of two-point boundary value problems, Math. Tables Aids Comput., 10 (1956), 82–86 MR0081553 0071.34006 CrossrefGoogle Scholar[5] L. V. Kantorovich and , G. P. Akilov, Functional analysis in normed spaces, Translated from the Russian by D. E. Brown. Edited by A. P. Robertson. International Series of Monographs in Pure and Applied Mathematics, Vol. 46, The Macmillan Co., New York, 1964xiii+771 MR0213845 0127.06104 Google Scholar[6] S. M. Roberts and , J. S. Shipman, The Kantorovich theorem and two-point boundary value problems, IBM J. Res. Develop., 10 (1966), 402–406 MR0202325 0196.49704 CrossrefISIGoogle Scholar[7] S. M. Roberts and , J. S. Shipman, Continuation in shooting methods for two-point boundary value problems, J. Math. Anal. Appl., 18 (1967), 45–58 10.1016/0022-247X(67)90181-3 MR0207213 0155.47303 CrossrefISIGoogle Scholar[8] S. M. Roberts, , J. S. Shipman and , C. V. Roth, Continuation in quasilinearization, J. Optimization Theory Appl., 2 (1968), 164–178 10.1007/BF00926998 0176.15001 CrossrefGoogle Scholar[9] S. M. Roberts and , J. S. Shipman, Justification for the continuation method in two-point boundary value problems, J. Math. Anal. Appl., 21 (1968), 23–30 10.1016/0022-247X(68)90236-9 MR0220451 0179.22102 CrossrefISIGoogle Scholar[10] James F. Holt, Numerical solution of nonlinear two-point boundary problems by finite difference methods, Comm. ACM, 7 (1964), 366–373 10.1145/512274.512291 MR0168123 0123.11805 CrossrefISIGoogle Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Survey of time-optimal attitude maneuversJournal of Guidance, Control, and Dynamics, Vol. 17, No. 2 Cross Ref An Asymptotic Perturbation Method for Nonlinear Optimal Control Problems Cross Ref Role of continuation in engineering analysisChemical Engineering Science, Vol. 42, No. 6 Cross Ref Numerical solution of nonlinear equations by one-parameter imbedding methods26 June 2007 | Numerical Functional Analysis and Optimization, Vol. 3, No. 2 Cross Ref Solution of nonlinear boundary value problems—XIChemical Engineering Science, Vol. 34, No. 5 Cross Ref One-parameter imbedding techniques for the solution of nonlinear boundary-value problemsApplied Mathematics and Computation, Vol. 4, No. 4 Cross Ref A classification and survey of numerical methods for boundary value problems in ordinary differential equationsInternational Journal for Numerical Methods in Engineering, Vol. 11, No. 5 Cross Ref NUMERICAL SOLUTION OF BOUNDARY VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS: SURVEY AND SOME RECENT RESULTS ON DIFFERENCE METHODS Cross Ref BOUNDARY PROBLEM SOLVERS FOR FIRST ORDER SYSTEMS BASED ON DEFERRED CORRECTIONS Cross Ref Variable order variable step finite difference methods for nonlinear boundary value problems28 August 2006 Cross Ref A variable order finite difference method for nonlinear multipoint boundary value problems1 January 1974 | Mathematics of Computation, Vol. 28, No. 128 Cross Ref Extension of a perturbation technique for nonlinear two-point boundary-value problems3 August 2013 | Journal of Optimization Theory and Applications, Vol. 12, No. 5 Cross Ref The epsilon variation method in two-point boundary-value problems3 August 2013 | Journal of Optimization Theory and Applications, Vol. 12, No. 2 Cross Ref Numerical Solutions by the Continuation MethodE. Wasserstrom18 July 2006 | SIAM Review, Vol. 15, No. 1AbstractPDF (2435 KB)Solution of Troesch's two-point boundary value problem by a combination of techniquesJournal of Computational Physics, Vol. 10, No. 2 Cross Ref A survey of optimal structural design under dynamic constraintsInternational Journal for Numerical Methods in Engineering, Vol. 4, No. 4 Cross Ref Solving Boundary-Value Problems by ImbeddingJournal of the ACM, Vol. 18, No. 4 Cross Ref Volume 6, Issue 3| 1969SIAM Journal on Numerical Analysis History Submitted:27 February 1968Published online:14 July 2006 InformationCopyright © 1969 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/0706032Article page range:pp. 347-358ISSN (print):0036-1429ISSN (online):1095-7170Publisher:Society for Industrial and Applied Mathematics
The use of t he fini te d ifferences met hod is in solving t he boundar y value problem of t he first kind for t he nonlinear elli … The use of t he fini te d ifferences met hod is in solving t he boundar y value problem of t he first kind for t he nonlinear elli ptic equation A</ > = F (X,y,</>, </>., cf>u) is justified by first showing t hat t h e problem of the corresp onding difference equat ion has a uniqu e solution, and t h en t hat t he solution of t he differe nce e quat ion tends t o that of t he different ial e quation when t he net uni t te nds t o zero.Also a numerical m cthod of t he Liebmann type for t he computa tion of t he solution of t he diffe re nce equat ion is deyeloped , and t hese result s are extended to more general n onlinear ellipt ic equat ions.
Previous article Next article On the Continuity of the Generalized InverseG. W. StewartG. W. Stewarthttps://doi.org/10.1137/0117004PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] S. N. Afriat, Orthogonal and oblique projectors and the … Previous article Next article On the Continuity of the Generalized InverseG. W. StewartG. W. Stewarthttps://doi.org/10.1137/0117004PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] S. N. Afriat, Orthogonal and oblique projectors and the characteristics of pairs of vector spaces, Proc. Cambridge Philos. Soc., 53 (1957), 800–816 MR0094880 (20:1389) CrossrefGoogle Scholar[2] A. Ben-Israel and , A. Charnes, Contributions to the theory of generalized inverses, J. Soc. Indust. Appl. Math., 11 (1963), 667–699 10.1137/0111051 MR0179192 (31:3441) 0116.32202 LinkISIGoogle Scholar[3] Adi Ben-Israel, On error bounds for generalized inverses, SIAM J. Numer. Anal., 3 (1966), 585–592 10.1137/0703050 MR0215504 (35:6344) 0147.13201 LinkGoogle Scholar[4] G. Golub and , W. Kahan, Calculating the singular values and pseudo-inverse of a matrix, J. Soc. Indust. Appl. Math. Ser. B Numer. Anal., 2 (1965), 205–224 MR0183105 (32:587) 0194.18201 LinkGoogle Scholar[5] G. Golub, Numerical methods for solving linear least squares problems, Numer. Math., 7 (1965), 206–216 10.1007/BF01436075 MR0181094 (31:5323) 0142.11502 CrossrefGoogle Scholar[6] G. H. Golub and , J. H. Wilkinson, Note on the iterative refinement of least squares solution, Numer. Math., 9 (1966), 139–148 10.1007/BF02166032 MR0212984 (35:3849) 0156.16106 CrossrefISIGoogle Scholar[7] Alston S. Householder, Unitary triangularization of a nonsymmetric matrix, J. Assoc. Comput. Mach., 5 (1958), 339–342 MR0111128 (22:1992) 0121.33802 CrossrefISIGoogle Scholar[8] Alston S. Householder, The theory of matrices in numerical analysis, Blaisdell Publishing Co. Ginn and Co. New York-Toronto-London, 1964xi+257 MR0175290 (30:5475) 0161.12101 Google Scholar[9] E. H. Moors, On the reciprocal of the general algebraic matrix, Bull. Amer. Math. Soc., 26 (1919-20), 394–395, Abstract Google Scholar[10] R. Penrose, A generalized inverse for matrices, Proc. Cambridge Philos. Soc., 51 (1955), 406–413 MR0069793 (16,1082a) 0065.24603 CrossrefGoogle Scholar[11] R. Penrose, On best approximation solutions of linear matrix equations, Proc. Cambridge Philos. Soc., 52 (1956), 17–19 MR0074092 (17,536d) CrossrefGoogle Scholar[12] J. H. 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StewartSIAM Journal on Numerical Analysis, Vol. 11, No. 1 | 14 July 2006AbstractPDF (1050 KB)Perturbation theory for pseudo-inversesBIT, Vol. 13, No. 2 | 1 Jun 1973 Cross Ref The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables SeparateG. H. Golub and V. PereyraSIAM Journal on Numerical Analysis, Vol. 10, No. 2 | 14 July 2006AbstractPDF (1690 KB)ReferencesRegression and the Moore-Penrose Pseudoinverse | 1 Jan 1972 Cross Ref Error analysis in a problem of approximation of a solution of perturbed signal space and its orthogonal complementProceedings of Thirtieth Southeastern Symposium on System Theory Cross Ref Extensions and applications of the Householder algorithm for solving linear least squares problemsMathematics of Computation, Vol. 23, No. 108 | 1 January 1969 Cross Ref Volume 17, Issue 1| 1969SIAM Journal on Applied Mathematics1-221 History Submitted:26 April 1968Published online:28 July 2006 InformationCopyright © 1969 © Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/0117004Article page range:pp. 33-45ISSN (print):0036-1399ISSN (online):1095-712XPublisher:Society for Industrial and Applied Mathematics
article Free AccessLSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares Authors: Christopher C. Paige School of Computer Science, McGill University, Montreal, P.Q., Canada H3C 3G1 School of … article Free AccessLSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares Authors: Christopher C. Paige School of Computer Science, McGill University, Montreal, P.Q., Canada H3C 3G1 School of Computer Science, McGill University, Montreal, P.Q., Canada H3C 3G1View Profile , Michael A. Saunders Department of Operations Research, Stanford University, Stanford, CA Department of Operations Research, Stanford University, Stanford, CAView Profile Authors Info & Claims ACM Transactions on Mathematical SoftwareVolume 8Issue 1pp 43–71https://doi.org/10.1145/355984.355989Published:01 March 1982Publication History 3,010citation6,538DownloadsMetricsTotal Citations3,010Total Downloads6,538Last 12 Months727Last 6 weeks183 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
In this paper, we show how to solve linear systems with a certain block structure in a stable manner, without introducing any extraneous elements, by alternate row and column elimination. … In this paper, we show how to solve linear systems with a certain block structure in a stable manner, without introducing any extraneous elements, by alternate row and column elimination. The amount of work involved is compared to other known methods.
We consider the application of finite-difference methods to the numerical solution of boundary-value problems. In particular we are concerned to study the feasibility and con­vergence of the difference-correction method for … We consider the application of finite-difference methods to the numerical solution of boundary-value problems. In particular we are concerned to study the feasibility and con­vergence of the difference-correction method for the solution of partial differential equations of elliptic type. These topics form the subject matter for §§ 3 to 6. The material of the first two sections is intended to serve as a preliminary for the main discussion. The topics considered here are finite difference formulae for numerical differentiation, and finite difference methods for the solution of partial differential equations.
A general theory is developed for calculating equidistributing meshes $\{ t_i \} $ for difference methods for boundary-value problems of the form \[ u' = f(u,t),\qquad b(u(0),u(1)) = 0. \] … A general theory is developed for calculating equidistributing meshes $\{ t_i \} $ for difference methods for boundary-value problems of the form \[ u' = f(u,t),\qquad b(u(0),u(1)) = 0. \] It is shown that the original problem and the equidistribution constraints on the mesh $\{ t_i \} $ can be replaced by a transformed boundary-value problem on a uniform mesh. Existence, uniqueness, and convergence of Newton's method for the discrete solution and the equidistributing mesh are proved. Equidistribution of arc length is given for boundary-layer problems. Five sample problems are solved with different methods of choosing the mesh $\{ t_i \} $.