Jorge Nocedal

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Trust-Region Algorithm for Noisy Equality Constrained Optimization	2024	Shigeng Sun Jorge Nocedal
+	An Iterative Approach for Solving the SCOPF Problem Applying LP, SOCP, and NLP Subproblems	2024	Jorge Nocedal
+ PDF Chat	A Feasible Method for Constrained Derivative-Free Optimization	2024	Melody Qiming Xuan Jorge Nocedal
+ PDF Chat	Noise-Tolerant Optimization Methods for the Solution of a Robust Design Problem	2024	Yuchen Lou Shigeng Sun Jorge Nocedal
+ PDF Chat	Constrained Optimization in the Presence of Noise	2023	Figen Öztoprak Richard Byrd Jorge Nocedal
+ PDF Chat	Constrained and composite optimization via adaptive sampling methods	2023	Yuchen Xie Raghu Bollapragada Richard Byrd Jorge Nocedal
+	A trust region method for noisy unconstrained optimization	2023	Shigeng Sun Jorge Nocedal
+	On the numerical performance of finite-difference-based methods for derivative-free optimization	2022	Hao-Jun Michael Shi Melody Qiming Xuan Figen Öztoprak Jorge Nocedal
+ PDF Chat	Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization	2022	Hao-Jun Michael Shi Yuchen Xie Melody Qiming Xuan Jorge Nocedal
+ PDF Chat	A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization	2022	Hao-Jun Michael Shi Yuchen Xie Richard Byrd Jorge Nocedal
+	A Trust Region Method for the Optimization of Noisy Functions	2022	Shigeng Sun Jorge Nocedal
+	On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations	2021	Hao-Jun Michael Shi Melody Qiming Xuan Figen Öztoprak Jorge Nocedal
+	Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization	2021	Hao-Jun Michael Shi Yuchen Xie Melody Qiming Xuan Jorge Nocedal
+	Constrained Optimization in the Presence of Noise	2021	Figen Öztoprak Richard Byrd Jorge Nocedal
+	On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations	2021	Hao-Jun Michael Shi Melody Qiming Xuan Figen Öztoprak Jorge Nocedal
+	A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization	2020	Hao-Jun Michael Shi Yuchen Xie Richard Byrd Jorge Nocedal
+ PDF Chat	An investigation of Newton-Sketch and subsampled Newton methods	2020	Albert S. Berahas Raghu Bollapragada Jorge Nocedal
+ PDF Chat	Analysis of the BFGS Method with Errors	2020	Yuchen Xie Richard H. Byrd Jorge Nocedal
+	A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization	2020	Hao-Jun Michael Shi Yuchen Xie Richard Byrd Jorge Nocedal
+	Analysis of the BFGS Method with Errors	2019	Yuchen Xie Richard Byrd Jorge Nocedal
+ PDF Chat	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods	2019	Albert S. Berahas Richard H. Byrd Jorge Nocedal
+	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods	2018	Albert S. Berahas Richard H. Byrd Jorge Nocedal
+ PDF Chat	Exact and inexact subsampled Newton methods for optimization	2018	Raghu Bollapragada Richard H. Byrd Jorge Nocedal
+	A Progressive Batching L-BFGS Method for Machine Learning	2018	Raghu Bollapragada Dheevatsa Mudigere Jorge Nocedal Hao-Jun Michael Shi Ping Tang
+ PDF Chat	Adaptive Sampling Strategies for Stochastic Optimization	2018	Raghu Bollapragada Richard Byrd Jorge Nocedal
+	Optimization Methods for Large-Scale Machine Learning	2018	Léon Bottou Frank E. Curtis Jorge Nocedal
+	A Progressive Batching L-BFGS Method for Machine Learning	2018	Raghu Bollapragada Dheevatsa Mudigere Jorge Nocedal Hao-Jun Michael Shi Ping Tang
+	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods	2018	Albert S. Berahas Richard H. Byrd Jorge Nocedal
+	Adaptive Sampling Strategies for Stochastic Optimization	2017	Raghu Bollapragada Richard Byrd Jorge Nocedal
+	An Investigation of Newton-Sketch and Subsampled Newton Methods	2017	Albert S. Berahas Raghu Bollapragada Jorge Nocedal
+	An Investigation of Newton-Sketch and Subsampled Newton Methods	2017	Albert S. Berahas Raghu Bollapragada Jorge Nocedal
+	Adaptive Sampling Strategies for Stochastic Optimization	2017	Raghu Bollapragada Richard Byrd Jorge Nocedal
+	Exact and Inexact Subsampled Newton Methods for Optimization	2016	Raghu Bollapragada Richard Byrd Jorge Nocedal
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang
+	Optimization Methods for Large-Scale Machine Learning	2016	Léon Bottou Frank E. Curtis Jorge Nocedal
+	A second-order method for convex<sub>1</sub>-regularized optimization with active-set prediction	2016	Nitish Shirish Keskar Jorge Nocedal Figen Öztoprak Andreas Wächter
+ PDF Chat	A Stochastic Quasi-Newton Method for Large-Scale Optimization	2016	Richard H. Byrd Samantha Hansen Jorge Nocedal Yaron Singer
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang
+	A Multi-Batch L-BFGS Method for Machine Learning	2016	Albert S. Berahas Jorge Nocedal Martin Takáč
+	Optimization Methods for Large-Scale Machine Learning	2016	Léon Bottou Frank E. Curtis Jorge Nocedal
+	Exact and Inexact Subsampled Newton Methods for Optimization	2016	Raghu Bollapragada Richard Byrd Jorge Nocedal
+	A family of second-order methods for convex $$\ell _1$$-regularized optimization	2015	Richard H. Byrd Gillian M. Chin Jorge Nocedal Figen Öztoprak
+	An inexact successive quadratic approximation method for L-1 regularized optimization	2015	Richard H. Byrd Jorge Nocedal Figen Öztoprak
+	A Second-Order Method for Convex $\ell_1$-Regularized Optimization with Active Set Prediction	2015	Nitish Shirish Keskar Jorge Nocedal Figen Öztoprak Andreas Wäechter
+ PDF Chat	An algorithm for quadratic ℓ<sub>1</sub>-regularized optimization with a flexible active-set strategy	2015	Stefan K. Solntsev Jorge Nocedal Richard H. Byrd
+	A Second-Order Method for Convex $\ell_1$-Regularized Optimization with Active Set Prediction	2015	Nitish Shirish Keskar Jorge Nocedal Figen Öztoprak Andreas Wäechter
+	An Algorithm for Quadratic $\ell_1$-Regularized Optimization with a Flexible Active-Set Strategy	2014	Stefan K. Solntsev Jorge Nocedal Richard Byrd
+	A Stochastic Quasi-Newton Method for Large-Scale Optimization	2014	Richard H. Byrd Samantha Hansen Jorge Nocedal Yaron Singer
+	An Algorithm for Quadratic $\ell_1$-Regularized Optimization with a Flexible Active-Set Strategy	2014	Stefan K. Solntsev Jorge Nocedal Richard Byrd
+	An interior point method for nonlinear programming with infeasibility detection capabilities	2013	Jorge Nocedal Figen Öztoprak Richard A. Waltz
+	An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization	2013	Richard H. Byrd Jorge Nocedal Figen Öztoprak
+	Subspace Accelerated Matrix Splitting Algorithms for Asymmetric and Symmetric Linear Complementarity Problems	2013	Daniel P. Robinson Liming Feng Jorge Nocedal Jong‐Shi Pang
+	An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization	2013	Richard H. Byrd Jorge Nocedal Figen Öztoprak
+	Newton-Like Methods for Sparse Inverse Covariance Estimation	2012	Figen Öztoprak Jorge Nocedal Steven J. Rennie Peder A. Olsen
+ PDF Chat	Sample size selection in optimization methods for machine learning	2012	Richard H. Byrd Gillian M. Chin Jorge Nocedal Yuchen Wu
+	Second-order methods for L1 regularized problems in machine learning	2012	Samantha Hansen Jorge Nocedal
+	Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”	2011	José Luis Morales Jorge Nocedal
+ PDF Chat	On the use of piecewise linear models in nonlinear programming	2011	Richard H. Byrd Jorge Nocedal Richard A. Waltz Yuchen Wu
+ PDF Chat	A sequential quadratic programming algorithm with an additional equality constrained phase	2011	José Luis Morales Jorge Nocedal Ying Wu
+ PDF Chat	On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning	2011	Richard H. Byrd Gillian M. Chin Will Neveitt Jorge Nocedal
+ PDF Chat	A line search exact penalty method using steering rules	2010	Richard H. Byrd Gabriel López-Calva Jorge Nocedal
+ PDF Chat	On the solution of complementarity problems arising in American options pricing	2010	Liming Feng Vadim Linetsky José Luis Morales Jorge Nocedal
+ PDF Chat	Infeasibility Detection and SQP Methods for Nonlinear Optimization	2010	Richard H. Byrd Frank E. Curtis Jorge Nocedal
+	Active set algorithms for large-scale nonlinear programming	2010	Jorge Nocedal Yuchen Wu
+ PDF Chat	A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians	2009	Frank E. Curtis Jorge Nocedal Andreas Wächter
+	Adaptive Barrier Update Strategies for Nonlinear Interior Methods	2009	Jorge Nocedal Andreas Wächter Richard A. Waltz
+ PDF Chat	On the geometry phase in model-based algorithms for derivative-free optimization	2008	Giovanni Fasano José Luis Morales Jorge Nocedal
+ PDF Chat	An inexact Newton method for nonconvex equality constrained optimization	2008	Richard H. Byrd Frank E. Curtis Jorge Nocedal
+ PDF Chat	An algorithm for the fast solution of symmetric linear complementarity problems	2008	José Luis Morales Jorge Nocedal Mikhail Smelyanskiy
+ PDF Chat	Steering exact penalty methods for nonlinear programming	2008	Richard H. Byrd Jorge Nocedal Richard A. Waltz
+ PDF Chat	Flexible penalty functions for nonlinear constrained optimization	2008	Frank E. Curtis Jorge Nocedal
+ PDF Chat	An Inexact SQP Method for Equality Constrained Optimization	2008	Richard H. Byrd Frank E. Curtis Jorge Nocedal
+	A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained Optimization	2008	Long Hei Jorge Nocedal Richard A. Waltz
+	Large-Scale Unconstrained Optimization	2006	Jorge Nocedal
+	Steplength selection in interior-point methods for quadratic programming	2006	Frank E. Curtis Jorge Nocedal
+	Quasi-Newton Methods	2006	Jorge Nocedal Stephen J. Wright
+	Large-Scale Quasi-Newton and Partially Separable Optimization	2006	Jorge Nocedal Stephen J. Wright
+	Sequential Quadratic Programming	2006	Jorge Nocedal Stephen J. Wright
+	Nonlinear Least-Squares Problems	2006	Jorge Nocedal Stephen J. Wright
+	Fundamentals of Algorithms for Nonlinear Constrained Optimization	2006	Jorge Nocedal Stephen J. Wright
+	Knitro: An Integrated Package for Nonlinear Optimization	2006	Richard H. Byrd Jorge Nocedal Richard A. Waltz
+ PDF Chat	Interior Methods for Mathematical Programs with Complementarity Constraints	2006	Sven Leyffer Gabriel López-Calva Jorge Nocedal
+ PDF Chat	An interior algorithm for nonlinear optimization that combines line search and trust region steps	2005	Richard A. Waltz José Luis Morales Jorge Nocedal Dominique Orban
+ PDF Chat	On the Convergence of Successive Linear-Quadratic Programming Algorithms	2005	Richard H. Byrd Nicholas I. M. Gould Jorge Nocedal Richard A. Waltz
+	A starting point strategy for nonlinear interior methods	2004	Michael Gertz Jorge Nocedal A. Sartenar
+ PDF Chat	On the convergence of Newton iterations to non-stationary points	2004	Richard H. Byrd Marcelo Marazzi Jorge Nocedal
+	An algorithm for nonlinear optimization using linear programming and equality constrained subproblems	2003	Richard H. Byrd Nicholas I. M. Gould Jorge Nocedal Richard A. Waltz
+	None	2003	Richard H. Byrd Jorge Nocedal Richard A. Waltz
+	Assessing the Potential of Interior Methods for Nonlinear Optimization	2003	José Luis Morales Jorge Nocedal Richard A. Waltz Guanghui Liu Jean-Pierre Goux
+	On the Convergence of Successive Linear Programming Algorithms	2003	Richard H. Byrd Nicholas I. M. Gould Jorge Nocedal Richard A. Waltz
+	An active-set algorithm for nonlinear programming using linear programming and equality constained subproblems	2003	RH Byrd Nicholas I. M. Gould Jorge Nocedal RA Waltz
+	None	2002	José Luis Morales Jorge Nocedal
+	None	2002	Jorge Nocedal Annick Sartenaer Ciyou Zhu
+ PDF Chat	Wedge trust region methods for derivative free optimization	2002	Marcelo Marazzi Jorge Nocedal
+	Algorithms for large-scale nonlinear optimization	2002	Jorge Nocedal Richard A. Waltz
+ PDF Chat	Feasibility control in nonlinear optimization	2001	Marcelo Marazzi Jorge Nocedal
+ PDF Chat	Algorithm 809: PREQN	2001	José Luis Morales Jorge Nocedal
+ PDF Chat	On the Solution of Equality Constrained Quadratic Programming Problems Arising in Optimization	2001	Nicholas I. M. Gould Mary E. Hribar Jorge Nocedal
+ PDF Chat	A trust region method based on interior point techniques for nonlinear programming	2000	Richard H. Byrd Jean Charles Gilbert Jorge Nocedal
+	None	2000	Lorenz T. Biegler Jorge Nocedal Claudia Schmid David Ternet
+ PDF Chat	Automatic Preconditioning by Limited Memory Quasi-Newton Updating	2000	José Luis Morales Jorge Nocedal
+ PDF Chat	An Interior Point Algorithm for Large-Scale Nonlinear Programming	1999	Richard H. Byrd Mary E. Hribar Jorge Nocedal
+ PDF Chat	On the Implementation of an Algorithm for Large-Scale Equality Constrained Optimization	1998	Marucha Lalee Jorge Nocedal Todd Plantenga
+ PDF Chat	The modified absolute-value factorization norm for trust-region minimization	1998	Nicholas I. M. Gould Jorge Nocedal
+ PDF Chat	Combining Trust Region and Line Search Techniques	1998	Jorge Nocedal Ya-xiang Yuan
+	Active set and interior methods for nonlinear optimization	1998	Richard H. Byrd Jorge Nocedal
+ PDF Chat	Algorithm 778: L-BFGS-B	1997	Ciyou Zhu Richard H. Byrd Peihuang Lu Jorge Nocedal
+	Large Scale Unconstrained Optimization	1997	Jorge Nocedal
+	On the Local Behavior of an Interior Point Method for Nonlinear Programming	1997	Jorge Nocedal
+	A limited-memory algorithm for bound-constrained optimization	1996	Richard H. Byrd Peihuang Lou Jorge Nocedal
+	Towards a Discrete Newton Method with Memory for Large-Scale Optimization	1996	Richard H. Byrd Jorge Nocedal Ciyou Zhu
+	Conjugate Gradient Methods and Nonlinear Optimization	1996	Jorge Nocedal
+ PDF Chat	A Limited Memory Algorithm for Bound Constrained Optimization	1995	Richard H. Byrd Peihuang Lu Jorge Nocedal Ciyou Zhu
+ PDF Chat	A Reduced Hessian Method for Large-Scale Constrained Optimization	1995	Lorenz T. Biegler Jorge Nocedal Claudia Schmid
+	Representations of quasi-Newton matrices and their use in limited memory methods	1994	Richard H. Byrd Jorge Nocedal Robert B. Schnabel
+	Recent Advances in Large-scale Nonlinear Optimization: State of the Art 1994	1994	Jorge Nocedal
+	Automatic Column Scaling Strategies for Quasi-Newton Methods	1993	Marucha Lalee Jorge Nocedal
+	Analysis of a self-scaling quasi-Newton method	1993	Jorge Nocedal Ya-xiang Yuan
+	Automatic differentiation and the step computation in the limited memory BFGS method	1993	Jean Charles Gilbert Jorge Nocedal
+	On the Behavior of Broyden’s Class of Quasi-Newton Methods	1992	Richard H. Byrd Cheng‐Di Dong Jorge Nocedal
+	Global Convergence Properties of Conjugate Gradient Methods for Optimization	1992	Jean Charles Gilbert Jorge Nocedal
+	Theory of algorithms for unconstrained optimization	1992	Jorge Nocedal
+ PDF Chat	A Numerical Study of the Limited Memory BFGS Method and the Truncated-Newton Method for Large Scale Optimization	1991	Stephen G. Nash Jorge Nocedal
+	An analysis of reduced Hessian methods for constrained optimization	1990	Richard H. Byrd Jorge Nocedal
+	The Performance of Several Algorithms for Large Scale Unconstrained Optimization	1990	Jorge Nocedal
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal
+	A Tool for the Analysis of Quasi-Newton Methods with Application to Unconstrained Minimization	1989	Richard H. Byrd Jorge Nocedal
+	Algorithms with Conic Termination for Nonlinear Optimization	1989	Cheng‐Di Dong Jorge Nocedal
+	Global Convergence of a Cass of Quasi-Newton Methods on Convex Problems	1987	Richard H. Byrd Jorge Nocedal Ya-xiang Yuan
+ PDF Chat	The Formulation and Analysis of Numerical Methods for Inverse Eigenvalue Problems	1987	Shmuel Friedland Jorge Nocedal Michael L. Overton
+	The Use of Linear Programming for the Solution of Sparse Sets of Nonlinear Equations	1987	Iain Duff Jorge Nocedal John Reid
+ PDF Chat	The formulation and analysis of numerical methods for inverse eigenvalue problems	1987	Shmuel Friedland Jorge Nocedal Michael L. Overton
+	Viewing the conjugate gradient method as a trust region algorithm	1986	Jorge Nocedal
+	Four quadratically convergent methods for solving inverse eigenvalue problems	1986	Michael L. Overton Shmuel Friedland Jorge Nocedal
+	Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization	1985	Jorge Nocedal Michael L. Overton
+	A Conic Algorithm for Optimization	1985	Hervé Gourgeon Jorge Nocedal
+ PDF Chat	Evaluation of step directions in optimization algorithms	1985	William C. Davidon Jorge Nocedal
+	Numerical methods for solving inverse eigenvalue problems	1983	Jorge Nocedal Michael L. Overton
+	Solving Large nonlinear systems of equations arising in mechanics	1982	Jorge Nocedal
+ PDF Chat	Updating Quasi-Newton Matrices with Limited Storage	1980	Jorge Nocedal
+ PDF Chat	Updating quasi-Newton matrices with limited storage	1980	Jorge Nocedal
+	Analysis of a new algorithm for one-dimensional minimization	1979	Petter E. Bjørstad Jorge Nocedal
+	Properties of Conjugate Gradient Methods with Inexact Linear Searches.	1978	Larry Nazareth Jorge Nocedal

Common Coauthors

Coauthor	Papers Together
Richard H. Byrd	38
Figen Öztoprak	14
Richard Byrd	14
Richard A. Waltz	13
Raghu Bollapragada	12
Hao-Jun Michael Shi	10
José Luis Morales	10
Frank E. Curtis	9
Yuchen Xie	7
Albert S. Berahas	7
Nicholas I. M. Gould	6
Melody Qiming Xuan	6
Nitish Shirish Keskar	5
Stephen J. Wright	5
Michael L. Overton	5
Ciyou Zhu	4
Shigeng Sun	4
Ping Tang	4
Dheevatsa Mudigere	4
Léon Bottou	3
Samantha Hansen	3
Shmuel Friedland	3
Mikhail Smelyanskiy	3
Ya-xiang Yuan	3
Marcelo Marazzi	3
Cheng‐Di Dong	3
Gillian M. Chin	3
Andreas Wächter	3
Yuchen Wu	3
Jean Charles Gilbert	3
Stefan K. Solntsev	3
Yaron Singer	2
Marucha Lalee	2
Peihuang Lu	2
Lorenz T. Biegler	2
Andreas Wäechter	2
Claudia Schmid	2
Gabriel López-Calva	2
Mary E. Hribar	2
Liming Feng	2
Martin Takáč	1
Vadim Linetsky	1
RA Waltz	1
Robert B. Schnabel	1
Yuchen Lou	1
John Reid	1
Daniel P. Robinson	1
Jean-Pierre Goux	1
Peihuang Lou	1
David Ternet	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Practical Methods of Optimization	2009	R. Ian Fletcher	22
+	Numerical Methods for Unconstrained Optimization and Nonlinear Equations	1996	J. E. Dennis Robert B. Schnabel	20
+ PDF Chat	CUTE	1995	Ingrid Bongartz Andrew R. Conn Nicholas I. M. Gould Philippe L. Toint	19
+ PDF Chat	Benchmarking optimization software with performance profiles	2002	Elizabeth D. Dolan Jorge J. Morè	18
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	18
+ PDF Chat	An Interior Point Algorithm for Large-Scale Nonlinear Programming	1999	Richard H. Byrd Mary E. Hribar Jorge Nocedal	17
+ PDF Chat	The Conjugate Gradient Method and Trust Regions in Large Scale Optimization	1983	Trond Steihaug	15
+ PDF Chat	CUTEr and SifDec	2003	Nicholas I. M. Gould Dominique Orban Philippe L. Toint	15
+ PDF Chat	Sample size selection in optimization methods for machine learning	2012	Richard H. Byrd Gillian M. Chin Jorge Nocedal Yuchen Wu	15
+ PDF Chat	Updating quasi-Newton matrices with limited storage	1980	Jorge Nocedal	15
+	Trust Region Methods	2000	Andrew R. Conn Nicholas I. M. Gould Philippe L. Toint	14
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	13
+	Inexact Newton Methods	1982	Ron S. Dembo Stanley C. Eisenstat Trond Steihaug	12
+	None	1999	Robert J. Vanderbei David F. Shanno	12
+	Nonlinear programming without a penalty function	2002	R. Fletcher Sven Leyffer	12
+	Iterative Solution of Nonlinear Equations in Several Variables	2000	J. M. Ortega Werner C. Rheinboldt	12
+ PDF Chat	A trust region method based on interior point techniques for nonlinear programming	2000	Richard H. Byrd Jean Charles Gilbert Jorge Nocedal	11
+	SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization	2002	Philip E. Gill Walter Murray Michael A. Saunders	11
+	Representations of quasi-Newton matrices and their use in limited memory methods	1994	Richard H. Byrd Jorge Nocedal Robert B. Schnabel	11
+ PDF Chat	Some numerical experiments with variable-storage quasi-Newton algorithms	1989	Jean Charles Gilbert Claude Lemaréchal	11
+	A Tool for the Analysis of Quasi-Newton Methods with Application to Unconstrained Minimization	1989	Richard H. Byrd Jorge Nocedal	11
+	Knitro: An Integrated Package for Nonlinear Optimization	2006	Richard H. Byrd Jorge Nocedal Richard A. Waltz	10
+ PDF Chat	Testing Unconstrained Optimization Software	1981	Jorge J. Morè B. S. Garbow K. E. Hillstrom	10
+ PDF Chat	Hybrid Deterministic-Stochastic Methods for Data Fitting	2012	Michael P. Friedlander Mark Schmidt	10
+	Trust region algorithms for optimization with nonlinear equality and inequality constraints	1990	E. O. Omojokun	10
+ PDF Chat	A characterization of superlinear convergence and its application to quasi-Newton methods	1974	J. E. Dennis Jorge J. Morè	9
+	An algorithm for nonlinear optimization using linear programming and equality constrained subproblems	2003	Richard H. Byrd Nicholas I. M. Gould Jorge Nocedal Richard A. Waltz	9
+ PDF Chat	An interior algorithm for nonlinear optimization that combines line search and trust region steps	2005	Richard A. Waltz José Luis Morales Jorge Nocedal Dominique Orban	9
+ PDF Chat	Quasi-Newton Methods, Motivation and Theory	1977	J. E. Dennis Jorge J. Morè	9
+ PDF Chat	Optimization for Machine Learning	2011	Suvrit Sra Sebastian Nowozin Stephen J. Wright	9
+	Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)	1992	Andrew R. Conn Nicholas I. M. Gould Philippe L. Toint	9
+	On the global convergence of an SLP-filter algorithm that takes EQP steps	2003	Choong Ming Chin R. Fletcher	9
+ PDF Chat	Superlinear Convergence and Implicit Filtering	2000	Tony Doungho Choi C. T. Kelley	9
+ PDF Chat	A Limited Memory Algorithm for Bound Constrained Optimization	1995	Richard H. Byrd Peihuang Lu Jorge Nocedal Ciyou Zhu	8
+ PDF Chat	On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning	2011	Richard H. Byrd Gillian M. Chin Will Neveitt Jorge Nocedal	8
+	Random Gradient-Free Minimization of Convex Functions	2015	Yurii Nesterov Vladimir Spokoiny	8
+	Newton's Method for Large Bound-Constrained Optimization Problems	1999	Chih‐Jen Lin Jorge J. Morè	8
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	8
+	Global Convergence of a Cass of Quasi-Newton Methods on Convex Problems	1987	Richard H. Byrd Jorge Nocedal Ya-xiang Yuan	8
+ PDF Chat	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods	2019	Albert S. Berahas Richard H. Byrd Jorge Nocedal	8
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	8
+	A coordinate gradient descent method for nonsmooth separable minimization	2007	Paul Tseng Sangwoon Yun	7
+	COMPUTING FORWARD DIFFERENCE DERIVATIVES IN ENGINEERING OPTIMIZATION	1992	Russell R. Barton	7
+	A family of second-order methods for convex $$\ell _1$$-regularized optimization	2015	Richard H. Byrd Gillian M. Chin Jorge Nocedal Figen Öztoprak	7
+ PDF Chat	A new approach to variable metric algorithms	1970	R. Fletcher	7
+	Sub-Sampled Newton Methods II: Local Convergence Rates	2016	Farbod Roosta-Khorasani Michael W. Mahoney	7
+	Interior-point ℓ2-penalty methods for nonlinear programming with strong global convergence properties	2006	L. Chen Donald Goldfarb	7
+	Nonlinear programming and nonsmooth optimization by successive linear programming	1989	R. Fletcher Eduardo Sáinz de la Maza	7
+ PDF Chat	Algorithm 778: L-BFGS-B	1997	Ciyou Zhu Richard H. Byrd Peihuang Lu Jorge Nocedal	7
+	A Trust Region Strategy for Nonlinear Equality Constrained Optimization	1985	Maria Rosa Celis	7