Jorge Nocedal | Academic Influence

Jorge Nocedal's AcademicInfluence.com Rankings

Jorge Nocedal

Computer Science

#1755

World Rank

#1818

Historical Rank

#837

USA Rank

Numerical Analysis

#13

World Rank

#14

Historical Rank

#9

USA Rank

Theoretical Computer Science

#48

World Rank

#48

Historical Rank

#15

USA Rank

computer-science Degrees

Jorge Nocedal

Mathematics

#1484

World Rank

#2431

Historical Rank

#610

USA Rank

Measure Theory

#525

World Rank

#739

Historical Rank

#215

USA Rank

mathematics Degrees

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Computer Science
Mathematics

Jorge Nocedal's Degrees

PhD Mathematics Stanford University
Masters Mathematics Stanford University
Bachelors Mathematics National Autonomous University of Mexico

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Why Is Jorge Nocedal Influential?

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According to Wikipedia, Jorge Nocedal is an applied mathematician, computer scientist and the Walter P. Murphy professor at Northwestern University who in 2017 received the John Von Neumann Theory Prize. He was elected a member of the National Academy of Engineering in 2020.

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Jorge Nocedal's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Numerical Optimization (1999) (9735)
On the limited memory BFGS method for large scale optimization (1989) (6464)
A Limited Memory Algorithm for Bound Constrained Optimization (1995) (5282)
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization (1997) (2772)
Updating Quasi-Newton Matrices With Limited Storage (1980) (2561)
Numerical Optimization (Springer Series in Operations Research and Financial Engineering) (2000) (2409)
Optimization Methods for Large-Scale Machine Learning (2016) (2239)
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima (2016) (2115)
An Interior Point Algorithm for Large-Scale Nonlinear Programming (1999) (1566)
A trust region method based on interior point techniques for nonlinear programming (2000) (1455)
Knitro: An Integrated Package for Nonlinear Optimization (2006) (1028)
Global Convergence Properties of Conjugate Gradient Methods for Optimization (1992) (1026)
An interior algorithm for nonlinear optimization that combines line search and trust region steps (2006) (965)
Representations of quasi-Newton matrices and their use in limited memory methods (1994) (727)
A Stochastic Quasi-Newton Method for Large-Scale Optimization (2014) (396)
Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization” (2011) (364)
Theory of algorithms for unconstrained optimization (1992) (359)
Sample size selection in optimization methods for machine learning (2012) (351)
A tool for the analysis of Quasi-Newton methods with application to unconstrained minimization (1989) (344)
Global Convergence of a Cass of Quasi-Newton Methods on Convex Problems (1987) (336)
On the Solution of Equality Constrained Quadratic Programming Problems Arising in Optimization (2001) (257)
On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning (2011) (257)
A Numerical Study of the Limited Memory BFGS Method and the Truncated-Newton Method for Large Scale Optimization (1991) (227)
Interior Methods for Mathematical Programs with Complementarity Constraints (2006) (218)
Combining Trust Region and Line Search Techniques (1998) (217)
Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization (1995) (209)
Automatic Preconditioning by Limited Memory Quasi-Newton Updating (1999) (174)
SIAM Journal on Optimization (2012) (152)
An algorithm for nonlinear optimization using linear programming and equality constrained subproblems (2004) (145)
Exact and Inexact Subsampled Newton Methods for Optimization (2016) (138)
Springer Series in Operations Research (1999) (131)
On the Implementation of an Algorithm for Large-Scale Equality Constrained Optimization (1998) (129)
Newton-Like Methods for Sparse Inverse Covariance Estimation (2012) (110)
Sequential Quadratic Programming (1999) (110)
Wedge trust region methods for derivative free optimization (2002) (107)
Adaptive Barrier Update Strategies for Nonlinear Interior Methods (2008) (99)
Steering exact penalty methods for nonlinear programming (2008) (97)
A Progressive Batching L-BFGS Method for Machine Learning (2018) (95)
A Multi-Batch L-BFGS Method for Machine Learning (2016) (88)
An analysis of reduced Hessian methods for constrained optimization (1991) (88)
An investigation of Newton-Sketch and subsampled Newton methods (2017) (85)
On the Local Behavior of an Interior Point Method for Nonlinear Programming (1997) (84)
An Inexact SQP Method for Equality Constrained Optimization (2008) (83)
Infeasibility Detection and SQP Methods for Nonlinear Optimization (2010) (83)
On the Behavior of the Gradient Norm in the Steepest Descent Method (2002) (80)
On the Behavior of Broyden's Class of Quasi-Newton Methods (1992) (80)
A line search exact penalty method using steering rules (2012) (79)
Adaptive Sampling Strategies for Stochastic Optimization (2017) (79)
Data assimilation in weather forecasting: a case study in PDE-constrained optimization (2009) (79)
Conjugate Gradient Methods and Nonlinear Optimization (1996) (74)
Conjugate Gradient Methods (1999) (72)
Large Scale Unconstrained Optimization (1997) (71)
On the Convergence of Successive Linear-Quadratic Programming Algorithms (2005) (70)
An inexact successive quadratic approximation method for L-1 regularized optimization (2016) (69)
A sequential quadratic programming algorithm with an additional equality constrained phase (2012) (68)
The Formulation and Analysis of Numerical Methods for Inverse Eigenvalue Problems (2015) (66)
Analysis of a self-scaling quasi-Newton method (1993) (66)
Quasi-Newton Methods (1999) (64)
On the convergence of Newton iterations to non-stationary points (2004) (59)
A family of second-order methods for convex $$\ell _1$$ℓ1-regularized optimization (2016) (55)
An inexact Newton method for nonconvex equality constrained optimization (2009) (55)
On the geometry phase in model-based algorithms for derivative-free optimization (2009) (54)
Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods (2018) (49)
An algorithm for the fast solution of symmetric linear complementarity problems (2008) (48)
Flexible penalty functions for nonlinear constrained optimization (2008) (45)
A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians (2009) (44)
Enriched Methods for Large-Scale Unconstrained Optimization (2002) (44)
Feasible Interior Methods Using Slacks for Nonlinear Optimization (2003) (43)
An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization (2013) (43)
Assessing the Potential of Interior Methods for Nonlinear Optimization (2003) (40)
The use of linear programming for the solution of sparse sets of nonlinear equations (1987) (40)
Adaptive Barrier Strategies for Nonlinear Interior Methods (33)
On the solution of complementarity problems arising in American options pricing (2010) (32)
An interior point method for nonlinear programming with infeasibility detection capabilities (2014) (31)
Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization (2015) (31)
A starting point strategy for nonlinear interior methods (2004) (31)
Towards a Discrete Newton Method with Memory for Large-Scale Optimization (1996) (28)
Line Search Methods (1999) (27)
Mechanics in the Engineering First curriculum at northwestern university (1997) (24)
A second-order method for convex 1-regularized optimization with active-set prediction (2015) (22)
An algorithm for quadratic ℓ1-regularized optimization with a flexible active-set strategy (2014) (22)
A Conic Algorithm for Optimization (1985) (21)
The modified absolute-value factorization norm for trust-region minimization (1998) (19)
On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations (2021) (19)
Algorithms with conic termination for nonlinear optimization (1989) (19)
Subspace Accelerated Matrix Splitting Algorithms for Asymmetric and Symmetric Linear Complementarity Problems (2013) (18)
Algorithm 809: PREQN: Fortran 77 subroutines for preconditioning the conjugate gradient method (2001) (18)
The Performance of Several Algorithms for Large Scale Unconstrained Optimization (1990) (17)
Local migrations of insectivorous birds in western Mexico: implications for the protection and conservation of their habitats (1994) (16)
On the Use of Stochastic Hessian Information in Unconstrained Optimization (2010) (16)
A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained Optimization (2006) (15)
An active-set algorithm for nonlinear programming using linear programming and equality constained subproblems (2003) (12)
Fundamentals of Unconstrained Optimization (1999) (12)
A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization (2020) (12)
Analysis of the BFGS Method with Errors (2019) (12)
Automatic Column Scaling Strategies for Quasi-Newton Methods (1993) (12)
Foundations of Computational Mathematics: Feasibility control in nonlinear optimization (2001) (11)
Conjugate direction methods with variable storage (1982) (11)
Algorithms for large-scale nonlinear optimization (2002) (10)
Large-scale constrained optimization (1996) (10)
iNEOS: an interactive environment for nonlinear optimization (2002) (10)
Automatic differentiation and the step computation in the limited memory BFGS method (1993) (9)
Four quadratically convergent methods for solving inverse eigenvalue problems (1986) (9)
An active set algorithm for nonlinear programming using linear programming and equality constrain (2002) (8)
On the use of piecewise linear models in nonlinear programming (2013) (8)
Trust-Region Methods (1999) (8)
Steplength selection in interior-point methods for quadratic programming (2007) (7)
Nonlinear Least-Squares Problems (1999) (7)
Theory of Constrained Optimization (1999) (7)
A Study of Conjugate Gradient Methods. (1978) (7)
Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization (2021) (6)
Worthen's Sparrow (Spizella wortheni) in the Northern Mexican Plateau (2008) (6)
On the Convergence of Successive Linear Programming Algorithms (2003) (6)
New locality of the endangered Sierra Madre Sparrow (Xenospiza baileyi) from the State of Durango, Mexico, and recommendations for its conservation (2018) (6)
Active set and interior methods for nonlinear optimization. (1998) (6)
Constrained and Composite Optimization via Adaptive Sampling Methods (2020) (6)
Nonlinear Optimization Methods for Large-Scale Learning (2019) (5)
Constrained Optimization in the Presence of Noise (2021) (5)
ON THE METHOD OF CONJUGATE GRADIENTS FOR FUNCTION MINIMIZATION (1978) (5)
Are species trajectories bounded or not (1991) (5)
Large-Scale Quasi-Newton and Partially Separable Optimization (1999) (5)
Second-order methods for L1 regularized problems in machine learning (2012) (4)
Penalty, Barrier, and Augmented Lagrangian Methods (1999) (4)
Linear Programming: The Simplex Method (1999) (4)
HELPERS IN THE BRIDLED TITMOUSE (1998) (4)
Limited Memory BFGS Minimizer with Bounds on Parameters (2015) (3)
Steering Exact Penalty Methods for Optimization (2006) (3)
Analysis of a new algorithm for one-dimensional minimization (1979) (2)
SUBSPACE ACCELERATED MATRIX SPLITTING ALGORITHMS FOR BOUND-CONSTRAINED QUADRATIC PROGRAMMING AND LINEAR COMPLEMENTARITY PROBLEMS (2011) (2)
Trust region algorithms for solving large systems of nonlinear equations (1984) (2)
Numerical Methods for Solving Inverse Eigenvalue Problems (2017) (2)
Algorithms and software for large scale optimization (1990) (2)
Second Order Methods for Optimizing Convex Matrix Functions and Sparse Covariance Clustering (2013) (2)
Bridled Titmouse (Baeolophus wollweberi) (2020) (2)
A Line Search Penalty Method for Nonlinear Optimization (2)
A line search exact penalty method using steering rules (2010) (2)
Solving Large nonlinear systems of equations arising in mechanics (1982) (2)
On the numerical performance of finite-difference-based methods for derivative-free optimization (2022) (2)
7 Combining Trust Region and Line Search Techniques (1)
Introducing a constructivist approach to applying programming skills in engineering analysis (2005) (1)
Linear Programming: Interior-Point Methods (1999) (1)
Fundamentals of Algorithms for Nonlinear Constrained Optimization (1999) (1)
Properties of Conjugate Gradient Methods with Inexact Linear Searches. (1978) (1)
Algorithms and software for large scale optimization. Progress report, August 1, 1989--May 5, 1990 (1990) (1)
A Trust Region Method for the Optimization of Noisy Functions (2022) (1)
Recent Advances in Large-scale Nonlinear Optimization: State of the Art 1994 (1994) (1)
Evaluation of step directions in optimization algorithms (2018) (1)
Book Review: The mathematical theory of finite element methods (1996) (0)
Optimization and eigenvalue computation with application to meteorology and oceanography. Progress report, August 1, 1992--July 31, 1993 (1993) (0)
Viewing the conjugate gradient method as a trust region algorithm (1986) (0)
Optimization and eigenvalue computation with application to meteorology and oceanography (1993) (0)
Fast and parallel algorithms for pricing American options: keynote (2009) (0)
PROGRESS REPOR T on the (2005) (0)
2 Pricing American Options in the Black-Scholes-Merton model (2009) (0)
An algorithm for linear complementarity and its application in american options pricing (2009) (0)
Sample size selection in optimization methods for machine learning (2012) (0)
Solutions to Selected Problems in NUMERICAL OPTIMIZATION (2006) (0)
EECE 506 Optimization Theory Fall, 2003, TTh 4:00-5:15 (2003) (0)
NEW IMPLEMENTATION OF THE CONJUGATE GRADIENT METHOD FOR NONLINEAR SYSTEMS. (1985) (0)
Solving optimization problems using parallel and grid computing (2003) (0)
Practical Newton Methods (1999) (0)
Conditional Random Fields for Labelling Sequential Data in Natural Language Processing [R package crfsuite version 0.3.4] (2020) (0)
DERIVATIVE-FREE OPTIMIZATION OF NOISY FUNCTIONS VIA (2018) (0)
An inexact successive quadratic approximation method for L-1 regularized optimization (2015) (0)
TITLE : TOWARDS A DISCRETE NEWTON METHOD WITH MEMORY FOR LARGE-SCALE OPTIMIZATION (1996) (0)
On the use of piecewise linear models in nonlinear programming (2011) (0)
Active set algorithms for large-scale nonlinear programming (2010) (0)
Nonlinear optimization algorithms for large-scale machine learning (2013) (0)
PREQN: FORTRAN Routines for Preconditioning the Conjugate Gradient Method (1999) (0)
A trust region method for noisy unconstrained optimization (2023) (0)
Olive Warbler (Peucedramus taeniatus) (2020) (0)
Post-Award Report for: “Next Generation Modeling Tools for the Real-Time Energy Management of Buildings” (2012) (0)
Mexican Chickadee (Poecile sclateri) (2020) (0)
TOWARDS A DISCRETE NEWTON METHOD WITH MEMORYFOR LARGE-SCALE (1996) (0)

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