H. N. Mhaskar

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All published works
Action Title Year Authors
+ PDF Chat Data Complexity Estimates for Operator Learning 2024 Nikola B. Kovachki
Samuel Lanthaler
H. N. Mhaskar
+ PDF Chat Robust and tractable multidimensional exponential analysis 2024 H. N. Mhaskar
S. Kitimoon
Raghu G. Raj
+ PDF Chat Inversion of the Laplace Transform of Point Masses 2024 Michael J. McKenna
H. N. Mhaskar
Richard G. Spencer
+ PDF Chat Tractability of approximation by general shallow networks 2024 H. N. Mhaskar
Tong Mao
+ PDF Chat Numerical solutions to an inverse problem for a non-linear Helmholtz equation 2023 Quôc Thông Lê Gia
H. N. Mhaskar
+ Encoding of data sets and algorithms 2023 Katarina Z. Doctor
Tong Mao
H. N. Mhaskar
+ PDF Chat Local approximation of operators 2023 H. N. Mhaskar
+ Encoding of data sets and algorithms 2023 Katarina Z. Doctor
Tong Mao
H. N. Mhaskar
+ Approximation by non-symmetric networks for cross-domain learning 2023 H. N. Mhaskar
+ Tractability of approximation by general shallow networks 2023 H. N. Mhaskar
Tong Mao
+ PDF Chat A manifold learning approach for gesture recognition from micro-Doppler radar measurements 2022 Eric Mason
H. N. Mhaskar
Adam Guo
+ Local approximation of operators 2022 H. N. Mhaskar
+ PDF Chat Kernel Distance Measures for Time Series, Random Fields and Other Structured Data 2021 Srinjoy Das
H. N. Mhaskar
Alexander Cloninger
+ Introduction to the Special Issue on Harmonic Analysis and Machine Learning 2021 David L. Donoho
H. N. Mhaskar
Ding‐Xuan Zhou
+ A manifold learning approach for gesture identification from micro-Doppler radar measurements. 2021 Eric Mason
H. N. Mhaskar
Adam Guo
+ PDF Chat A Function Approximation Approach to the Prediction of Blood Glucose Levels 2021 H. N. Mhaskar
Sergei V. Pereverzyev
Maria D. van der Walt
+ PDF Chat A Low Discrepancy Sequence on Graphs 2021 Alexander Cloninger
H. N. Mhaskar
+ PDF Chat Cautious active clustering 2021 Alexander Cloninger
H. N. Mhaskar
+ A function approximation approach to the prediction of blood glucose levels 2021 H. N. Mhaskar
Sergei V. Pereverzyev
Maria D. van der Walt
+ Kernel distance measures for time series, random fields and other structured data 2021 Srinjoy Das
H. N. Mhaskar
Alexander Cloninger
+ A manifold learning approach for gesture recognition from micro-Doppler radar measurements 2021 Eric F. Mason
H. N. Mhaskar
Adam Guo
+ PDF Chat Kernel-Based Analysis of Massive Data 2020 H. N. Mhaskar
+ PDF Chat A direct approach for function approximation on data defined manifolds 2020 H. N. Mhaskar
+ PDF Chat A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials 2020 H. N. Mhaskar
Xiuyuan Cheng
Alexander Cloninger
+ Cautious Active Clustering. 2020 Alexander Cloninger
H. N. Mhaskar
+ Kernel based analysis of massive data 2020 H. N. Mhaskar
+ Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data 2020 Charles K. Chui
Ningning Han
H. N. Mhaskar
+ A low discrepancy sequence on graphs 2020 Alexander Cloninger
H. N. Mhaskar
+ Cautious Active Clustering 2020 Alexander Cloninger
H. N. Mhaskar
+ Kernel based analysis of massive data 2020 H. N. Mhaskar
+ PDF Chat Dimension independent bounds for general shallow networks 2019 H. N. Mhaskar
+ PDF Chat Super-Resolution Meets Machine Learning: Approximation of Measures 2019 H. N. Mhaskar
+ PDF Chat An analysis of training and generalization errors in shallow and deep networks 2019 H. N. Mhaskar
Tomaso Poggio
+ Dimension independent bounds for general shallow networks 2019 H. N. Mhaskar
+ Deep Gaussian networks for function approximation on data defined manifolds. 2019 H. N. Mhaskar
+ A direct approach for function approximation on data defined manifolds 2019 H. N. Mhaskar
+ A witness function based construction of discriminative models using Hermite polynomials 2019 H. N. Mhaskar
Alexander Cloninger
Xiuyuan Cheng
+ Function approximation by deep networks 2019 H. N. Mhaskar
Tomaso Poggio
+ Super-resolution meets machine learning: approximation of measures 2019 H. N. Mhaskar
+ Dimension independent bounds for general shallow networks 2019 H. N. Mhaskar
+ A direct approach for function approximation on data defined manifolds 2019 H. N. Mhaskar
+ PDF Chat Stable soft extrapolation of entire functions 2018 Dmitry Batenkov
Laurent Demanet
H. N. Mhaskar
+ PDF Chat Function approximation with zonal function networks with activation functions analogous to the rectified linear unit functions 2018 H. N. Mhaskar
+ Deep Algorithms: designs for networks. 2018 Abhejit Rajagopal
Shivkumar Chandrasekaran
H. N. Mhaskar
+ PDF Chat Deep Nets for Local Manifold Learning 2018 Charles K. Chui
H. N. Mhaskar
+ PDF Chat Minimum Sobolev norm interpolation of scattered derivative data 2018 Shivkumar Chandrasekaran
Christopher Gorman
H. N. Mhaskar
+ A unified method for super-resolution recovery and real exponential-sum separation 2018 Charles K. Chui
H. N. Mhaskar
+ An analysis of training and generalization errors in shallow and deep networks 2018 H. N. Mhaskar
Tomaso Poggio
+ Approximate Quadrature Measures on Data-Defined Spaces 2018 H. N. Mhaskar
+ Theory of Deep Learning III: explaining the non-overfitting puzzle 2018 Tomaso Poggio
Kenji Kawaguchi
Qianli Liao
Brando Miranda
Lorenzo Rosasco
Xavier Boix
Jack D. Hidary
H. N. Mhaskar
+ An analysis of training and generalization errors in shallow and deep networks 2018 H. N. Mhaskar
Tomaso Poggio
+ Deep Algorithms: designs for networks 2018 Abhejit Rajagopal
Shivkumar Chandrasekaran
H. N. Mhaskar
+ Theory of Deep Learning III: explaining the non-overfitting puzzle 2017 Tomaso Poggio
Kenji Kawaguchi
Qianli Liao
Brando Miranda
Lorenzo Rosasco
Xavier Boix
Jack D. Hidary
H. N. Mhaskar
+ PDF Chat A Fourier-invariant method for locating point-masses and computing their attributes 2017 Charles K. Chui
H. N. Mhaskar
+ Function approximation with ReLU-like zonal function networks. 2017 H. N. Mhaskar
+ Function approximation with zonal function networks with activation functions analogous to the rectified linear unit functions 2017 H. N. Mhaskar
+ A unified method for super-resolution recovery and real exponential-sum separation 2017 Charles K. Chui
H. N. Mhaskar
+ A Fourier-invariant method for locating point-masses and computing their attributes 2017 Charles K. Chui
H. N. Mhaskar
+ PDF Chat A Deep Learning Approach to Diabetic Blood Glucose Prediction 2017 H. N. Mhaskar
Sergei V. Pereverzyev
Maria D. van der Walt
+ Representation of functions on big data associated with directed graphs 2017 Charles K. Chui
H. N. Mhaskar
Xiaosheng Zhuang
+ PDF Chat Local Approximation Using Hermite Functions 2017 H. N. Mhaskar
+ Recent Applications of Harmonic Analysis to Function Spaces, Differential Equations, and Data Science 2017 Isaac Z. Pesenson
Quôc Thông Lê Gia
Azita Mayeli
H. N. Mhaskar
Ding‐Xuan Zhou
+ A unified method for super-resolution recovery and real exponential-sum separation 2017 Charles K. Chui
H. N. Mhaskar
+ Function approximation with zonal function networks with activation functions analogous to the rectified linear unit functions 2017 H. N. Mhaskar
+ A Fourier-invariant method for locating point-masses and computing their attributes 2017 Charles K. Chui
H. N. Mhaskar
+ Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality 2016 Tomaso Poggio
H. N. Mhaskar
Lorenzo Rosasco
Brando Miranda
Qianli Liao
+ PDF Chat Deep vs. shallow networks: An approximation theory perspective 2016 H. N. Mhaskar
Tomaso Poggio
+ Deep vs. shallow networks : An approximation theory perspective 2016 H. N. Mhaskar
Tomaso Poggio
+ PDF Chat A unified framework for harmonic analysis of functions on directed graphs and changing data 2016 H. N. Mhaskar
+ Data-driven atomic decomposition via frequency extraction of intrinsic mode functions 2016 Charles K. Chui
H. N. Mhaskar
Maria D. van der Walt
+ Learning Functions: When Is Deep Better Than Shallow 2016 H. N. Mhaskar
Qianli Liao
Tomaso Poggio
+ Localized Summability Kernels for Jacobi Expansions 2016 H. N. Mhaskar
+ Deep nets for local manifold learning 2016 Charles K. Chui
H. N. Mhaskar
+ Representation of functions on big data associated with directed graphs 2016 Charles K. Chui
H. N. Mhaskar
Xiaosheng Zhuang
+ Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review 2016 Tomaso Poggio
H. N. Mhaskar
Lorenzo Rosasco
Brando Miranda
Qianli Liao
+ Deep vs. shallow networks : An approximation theory perspective 2016 H. N. Mhaskar
Tomaso Poggio
+ Approximate quadrature measures on data--defined spaces 2016 H. N. Mhaskar
+ Local numerical integration on the sphere 2014 Judith Beckmann
H. N. Mhaskar
Jürgen Prestin
+ PDF Chat Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions 2013 H. N. Mhaskar
Valeriya Naumova
Sergei V. Pereverzyev
+ Minimum Sobolev norm interpolation with trigonometric polynomials on the torus 2013 S. Chandrasekaran
K. Jayaraman
H. N. Mhaskar
+ Quadrature formulas for integration of multivariate trigonometric polynomials on spherical triangles 2012 Judith Beckmann
H. N. Mhaskar
Jürgen Prestin
+ On the Problem of Parameter Estimation in Exponential Sums 2011 Frank Filbir
H. N. Mhaskar
Jürgen Prestin
+ Marcinkiewicz–Zygmund measures on manifolds 2011 Frank Filbir
H. N. Mhaskar
+ A generalized diffusion frame for parsimonious representation of functions on data defined manifolds 2011 H. N. Mhaskar
+ A Quadrature Formula for Diffusion Polynomials Corresponding to a Generalized Heat Kernel 2010 Frank Filbir
H. N. Mhaskar
+ A construction of linear bounded interpolatory operators on the torus 2010 S. Chandrasekaran
H. N. Mhaskar
+ Marcinkiewicz--Zygmund measures on manifolds 2010 Frank Filbir
H. N. Mhaskar
+ PDF Chat $L^p$ Bernstein estimates and approximation by spherical basis functions 2009 H. N. Mhaskar
F. J. Narcowich
Jürgen Prestin
J. D. Ward
+ Eignets for function approximation on manifolds 2009 H. N. Mhaskar
+ PDF Chat On a filter for exponentially localized kernels based on Jacobi polynomials 2009 Frank Filbir
H. N. Mhaskar
Jürgen Prestin
+ Eignets for function approximation on manifolds 2009 H. N. Mhaskar
+ Polynomial operators and local smoothness classes on the unit interval, II 2009 H. N. Mhaskar
+ PDF Chat Localized Linear Polynomial Operators and Quadrature Formulas on the Sphere 2008 Quôc Thông Lê Gia
H. N. Mhaskar
+ PDF Chat Polynomial operators for spectral approximation of piecewise analytic functions 2008 H. N. Mhaskar
Jürgen Prestin
+ L^p Bernstein estimates and approximation by spherical basis functions 2008 H. N. Mhaskar
F. J. Narcowich
Jürgen Prestin
J. D. Ward
+ Polynomial operators and local smoothness classes on the unit interval, II 2008 H. N. Mhaskar
+ PDF Chat Constructive approximations of spherical functions 2007 M. Ganesh
H. N. Mhaskar
+ Diffusion polynomial frames on metric measure spaces 2007 Mauro Maggioni
H. N. Mhaskar
+ Quadrature Formulas on Spheres Using Scattered Data 2007 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ Quadrature in Besov spaces on the Euclidean sphere 2006 Kerstin Hesse
H. N. Mhaskar
Ian H. Sloan
+ Frontiers in Interpolation and Approximation 2006 N. K. Govil
H. N. Mhaskar
R. N. Mohapatra
Zuhair Nashed
J. Szabados
+ On Bounded Interpolatory and Quasi-Interpolatory Polynomial Operators 2006 H. N. Mhaskar
+ 1 Orthogonal projection onto P( 2006 N. K. Govil
H. N. Mhaskar
R. N. Mohapatra
Zuhair Nashed
J. Szabados
+ Polynomial operators and local approximation of solutions of pseudo-differential equations on the sphere 2006 Quôc Thông Lê Gia
H. N. Mhaskar
+ Matrix-free Interpolation on the Sphere 2006 M. Ganesh
H. N. Mhaskar
+ On Local Smoothness Classes of Periodic Functions 2005 H. N. Mhaskar
Jürgen Prestin
+ On the representation of smooth functions on the sphere using finitely many bits 2005 H. N. Mhaskar
+ A Markov-Bernstein Inequality for Gaussian Networks 2005 H. N. Mhaskar
+ PDF Chat Polynomial operators and local smoothness classes on the unit interval 2004 H. N. Mhaskar
+ On the Representation of Band-Dominant Functions on the Sphere Using Finitely Many Bits 2004 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ On the tractability of multivariate integration and approximation by neural networks 2004 H. N. Mhaskar
+ Local quadrature formulas on the sphere 2004 H. N. Mhaskar
+ Polynomial Frames: A Fast Tour 2004 H. N. Mhaskar
Jürgen Prestin
+ A tribute to Géza Freud 2003 H. N. Mhaskar
+ Zonal function network frames on the sphere 2003 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ Neural network frames on the sphere 2002 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ On the Representation of Band Limited Functions Using Finitely Many Bits 2002 H. N. Mhaskar
+ On the Degree of Approximation in Multivariate Weighted Approximation 2002 H. N. Mhaskar
+ Approximation with interpolatory constraints 2001 H. N. Mhaskar
F. J. Narcowich
N. Sivakumar
Joseph Ward
+ PDF Chat Corrigendum to ``Spherical Marcinkiewicz-Zygmund inequalities and positive quadrature'' 2001 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ A local discrepancy theorem 2001 В. В. Андриевскии
H.‐P. Blatt
H. N. Mhaskar
+ Quasi-Interpolation in Shift Invariant Spaces 2000 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ Polynomial Frames for the Detection of Singularities 2000 H. N. Mhaskar
Jürgen Prestin
+ PDF Chat Spherical Marcinkiewicz-Zygmund inequalities and positive quadrature 2000 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
+ None 2000 H. N. Mhaskar
F. J. Narcowich
Jürgen Prestin
J. D. Ward
+ None 2000 H. N. Mhaskar
Jürgen Prestin
+ Fundamentals of approximation theory / Hrushikesh Mhaskar, Davidas V. Pai 2000 H. N. Mhaskar
+ On a Sequence of Fast Decreasing Polynomial Operators 1999 H. N. Mhaskar
Jürgen Prestin
+ Bounded Quasi-Interpolatory Polynomial Operators 1999 H. N. Mhaskar
Jürgen Prestin
+ On a build-up polynomial frame for the detection of singularities 1999 H. N. Mhaskar
+ Some Discrepancy Theorems in the Theory of Weighted Polynomial Approximation 1998 H.‐P. Blatt
H. N. Mhaskar
+ Introduction to the Theory of Weighted Polynomial Approximation 1997 H. N. Mhaskar
+ On a choice of sampling nodes for optimal approximation of smooth functions by generalized translation networks 1997 H. N. Mhaskar
+ PDF Chat A general discrepancy theorem 1993 H.‐P. Blatt
H. N. Mhaskar
+ PDF Chat Weighted Polynomial Approximation of Entire Functions on Unbounded Subsets of the Complex Plane 1993 H. N. Mhaskar
+ On trigonometric wavelets 1993 Charles K. Chui
H. N. Mhaskar
+ On Multivariate Robust Stability 1992 Charles K. Chui
H. N. Mhaskar
+ Approximation by superposition of sigmoidal and radial basis functions 1992 H. N. Mhaskar
Charles A. Micchelli
+ Weighted analogues of capacity, transfinite diameter, and Chebyshev constant 1992 H. N. Mhaskar
Edward B. Saff
+ Hermite interpolation at the zeros of certain freud-type orthogonal polynomials 1992 H. N. Mhaskar
Yuan Xu
+ The distribution of zeros of asymptotically extremal polynomials 1991 H. N. Mhaskar
Edward B. Saff
+ Mean Convergence of Expansions in Freud-Type Orthogonal Polynomials 1991 H. N. Mhaskar
Yao Xu
+ A general study of maximal robust stability regions 1991 Charles K. Chui
H. N. Mhaskar
+ The convergence of Fourier series and a k-functional 1991 H. N. Mhaskar
+ PDF Chat Finite-infinite range inequalities in the complex plane 1991 H. N. Mhaskar
+ General Markov-Bernstein and Nikolskii type inequalities 1990 H. N. Mhaskar
+ Bounds for certain Freud-type orthogonal polynomials 1990 H. N. Mhaskar
+ On the distribution of zeros of polynomials orthogonal on the unit circle 1990 H. N. Mhaskar
Edward B. Saff
+ Approximation in certain intermediate spaces 1990 H. N. Mhaskar
+ Weighted polynomials, radial basis functions and potentials on locally compact spaces 1990 H. N. Mhaskar
+ A proof of Freud's conjecture for exponential weights 1988 D. S. Lubinsky
H. N. Mhaskar
Edward B. Saff
+ The rate of convergence of expansions in Freud polynomials 1988 H. N. Mhaskar
+ A Quantitative Dirichlet–Jordan Type Theorem for Orthogonal Polynomial Expansions 1988 H. N. Mhaskar
+ Some discrepancy theorems 1987 H. N. Mhaskar
+ PDF Chat Where does the 𝐿^{𝑝}-norm of a weighted polynomial live? 1987 H. N. Mhaskar
Edward B. Saff
+ Weighted polynomial approximation 1986 H. N. Mhaskar
+ PDF Chat Freud’s conjecture for exponential weights 1986 D. S. Lubinsky
H. N. Mhaskar
Edward B. Saff
+ Where does the sup norm of a weighted polynomial live? 1985 H. N. Mhaskar
Edward B. Saff
+ PDF Chat A trace theorem for Caloric functions 1985 H. N. Mhaskar
+ Extensions of the Dirichlet-Jordan criterion to a general class of orthogonal polynomial expansions 1984 H. N. Mhaskar
+ On the domain of convergence of series in polynomials orthogonal with respect to general weight functions on the whole real line 1984 H. N. Mhaskar
+ Polynomials with laguerre weights in Lp 1984 H. N. Mhaskar
Edward B. Saff
+ PDF Chat Weighted polynomials on finite and infinite intervals: a unified approach 1984 H. N. Mhaskar
E. B. Saff
+ PDF Chat Extremal problems for polynomials with exponential weights 1984 H. N. Mhaskar
E. B. Saff
+ PDF Chat K-functionals and moduli of continuity in weighted polynomial approximation 1983 G. Freud
H. N. Mhaskar
+ On a problem of G. Freud 1983 H. N. Mhaskar
+ The Rate of Monotone Spline Approximation in the $L_p $-Norm 1982 D. Leviatan
H. N. Mhaskar
+ Comonotone approximation by splines of piecewise monotone functions 1982 D. Leviatan
H. N. Mhaskar
+ Weighted polynomial approximation of entire functions, I 1982 H. N. Mhaskar
+ Weighted polynomial approximation of entire functions, II 1981 H. N. Mhaskar
+ Weighted polynomial approximation on the whole real line and related topics 1980 H. N. Mhaskar
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Orthogonal Polynomials 1971 43
+ Eignets for function approximation on manifolds 2009 H. N. Mhaskar
34
+ PDF Chat Spherical Marcinkiewicz-Zygmund inequalities and positive quadrature 2000 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
29
+ Diffusion polynomial frames on metric measure spaces 2007 Mauro Maggioni
H. N. Mhaskar
27
+ Marcinkiewicz–Zygmund measures on manifolds 2011 Frank Filbir
H. N. Mhaskar
25
+ Orthogonal polynomials 2022 T. W. Körner
Terence Tao
22
+ Introduction to the Theory of Weighted Polynomial Approximation 1997 H. N. Mhaskar
21
+ None 2000 H. N. Mhaskar
Jürgen Prestin
20
+ A Quadrature Formula for Diffusion Polynomials Corresponding to a Generalized Heat Kernel 2010 Frank Filbir
H. N. Mhaskar
18
+ None 1999 H. N. Mhaskar
F. J. Narcowich
J. D. Ward
18
+ PDF Chat Deep vs. shallow networks: An approximation theory perspective 2016 H. N. Mhaskar
Tomaso Poggio
17
+ Where does the sup norm of a weighted polynomial live? 1985 H. N. Mhaskar
Edward B. Saff
17
+ PDF Chat Polynomial operators and local smoothness classes on the unit interval 2004 H. N. Mhaskar
17
+ PDF Chat Localized Linear Polynomial Operators and Quadrature Formulas on the Sphere 2008 Quôc Thông Lê Gia
H. N. Mhaskar
17
+ Polynomial Frames: A Fast Tour 2004 H. N. Mhaskar
Jürgen Prestin
16
+ On Local Smoothness Classes of Periodic Functions 2005 H. N. Mhaskar
Jürgen Prestin
16
+ PDF Chat Extremal problems for polynomials with exponential weights 1984 H. N. Mhaskar
E. B. Saff
16
+ On orthogonal polynomials 1975 P. Túrán
15
+ On the representation of smooth functions on the sphere using finitely many bits 2005 H. N. Mhaskar
15
+ On the tractability of multivariate integration and approximation by neural networks 2004 H. N. Mhaskar
14
+ On polynomial approximation with respect to general weights 1974 G. Freud
14
+ A generalized diffusion frame for parsimonious representation of functions on data defined manifolds 2011 H. N. Mhaskar
14
+ Orthogonal Polynomials 1972 Albert L. Rabenstein
13
+ PDF Chat A unified framework for harmonic analysis of functions on directed graphs and changing data 2016 H. N. Mhaskar
13
+ Theory of Approximation of Functions of a Real Variable 1963 A.F. TIMAN
13
+ Optimal nonlinear approximation 1989 Ronald DeVore
Ralph Howard
Charles A. Micchelli
13
+ Potential theory in modern function theory 1959 正次 辻
12
+ Detection of Edges in Spectral Data 1999 Anne Gelb
Eitan Tadmor
10
+ PDF Chat Local Approximation Using Hermite Functions 2017 H. N. Mhaskar
10
+ On direct and converse theorems in the theory of weighted polynomial approximation 1972 G�za Freud
9
+ PDF Chat A Fourier-invariant method for locating point-masses and computing their attributes 2017 Charles K. Chui
H. N. Mhaskar
9
+ An introduction to wavelets 1992 Charles K. Chui
9
+ Polynomial operators and local smoothness classes on the unit interval, II 2009 H. N. Mhaskar
9
+ On the Representation of Band Limited Functions Using Finitely Many Bits 2002 H. N. Mhaskar
9
+ Universal local parametrizations via heat kernels and eigenfunctions of the Laplacian 2010 Peter W. Jones
Mauro Maggioni
Raanan Schul
9
+ Orthogonal Polynomials 2004 Walter Gautschi
9
+ PDF Chat Where does the 𝐿^{𝑝}-norm of a weighted polynomial live? 1987 H. N. Mhaskar
Edward B. Saff
8
+ Extension of the Dirichlet-Jordan criterion to a general class of orthogonal polynomial expansions 1974 G. Freud
8
+ ON ASYMPTOTIC PROPERTIES OF POLYNOMIALS ORTHOGONAL ON THE REAL AXIS 1984 Евгений Андреевич Рахманов
8
+ Approximation of functions 2017 George G. Lorentz
8
+ Asymptotics and Special Functions 1997 F. W. J. Olver
8
+ A unified method for super-resolution recovery and real exponential-sum separation 2018 Charles K. Chui
H. N. Mhaskar
8
+ None 2000 H. N. Mhaskar
F. J. Narcowich
Jürgen Prestin
J. D. Ward
8
+ On the Degree of Approximation in Multivariate Weighted Approximation 2002 H. N. Mhaskar
8
+ Constructive approximation : advanced problems 1996 George G. Lorentz
Manfred V. Golitschek
Yuly Makovoz
8
+ Polynomial operators and local approximation of solutions of pseudo-differential equations on the sphere 2006 Quôc Thông Lê Gia
H. N. Mhaskar
8
+ Logarithmic Potentials with External Fields 1997 Edward B. Saff
Вилмос Тотик
8
+ A Markov-Bernstein Inequality for Gaussian Networks 2005 H. N. Mhaskar
7
+ Computing Fourier Transforms and Convolutions on the 2-Sphere 1994 James R. Driscoll
D.M. Healy
7
+ Approximation with interpolatory constraints 2001 H. N. Mhaskar
F. J. Narcowich
N. Sivakumar
Joseph Ward
7