Jorge Nocedal
Jorge Nocedal
Professor, Industrial Engineering, Northwestern University
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TitleCited byYear
Numerical Optimization, Second Edition
J Nocedal, SJ Wright
Numerical optimization, 497-528, 2006
26753*2006
On the limited memory BFGS method for large scale optimization
DC Liu, J Nocedal
Mathematical programming 45 (1-3), 503-528, 1989
53311989
A limited memory algorithm for bound constrained optimization
RH Byrd, P Lu, J Nocedal, C Zhu
SIAM Journal on Scientific Computing 16 (5), 1190-1208, 1995
40671995
Updating quasi-Newton matrices with limited storage
J Nocedal
Mathematics of computation 35 (151), 773-782, 1980
24761980
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
C Zhu, RH Byrd, P Lu, J Nocedal
ACM Transactions on Mathematical Software (TOMS) 23 (4), 550-560, 1997
20801997
An interior point algorithm for large-scale nonlinear programming
RH Byrd, ME Hribar, J Nocedal
SIAM Journal on Optimization 9 (4), 877-900, 1999
14151999
A trust region method based on interior point techniques for nonlinear programming
RH Byrd, JC Gilbert, J Nocedal
Mathematical programming 89 (1), 149-185, 2000
12742000
Global convergence properties of conjugate gradient methods for optimization
JC Gilbert, J Nocedal
SIAM Journal on optimization 2 (1), 21-42, 1992
11101992
Numerical optimization
S Wright, J Nocedal
Springer Science 35 (67-68), 7, 1999
8971999
Knitro: An Integrated Package for Nonlinear Optimization
RH Byrd, J Nocedal, RA Waltz
Large-scale nonlinear optimization, 35-59, 2006
8682006
Representations of quasi-Newton matrices and their use in limited memory methods
RH Byrd, J Nocedal, RB Schnabel
Mathematical Programming 63 (1-3), 129-156, 1994
7811994
An interior algorithm for nonlinear optimization that combines line search and trust region steps
RA Waltz, JL Morales, J Nocedal, D Orban
Mathematical programming 107 (3), 391-408, 2006
7512006
Optimization methods for large-scale machine learning
L Bottou, FE Curtis, J Nocedal
Siam Review 60 (2), 223-311, 2018
6632018
On large-batch training for deep learning: Generalization gap and sharp minima
NS Keskar, D Mudigere, J Nocedal, M Smelyanskiy, PTP Tang
arXiv preprint arXiv:1609.04836, 2016
6012016
Theory of algorithms for unconstrained optimization
J Nocedal
Acta numerica 1, 199-242, 1992
4301992
A tool for the analysis of quasi-Newton methods with application to unconstrained minimization
RH Byrd, J Nocedal
SIAM Journal on Numerical Analysis 26 (3), 727-739, 1989
4011989
Global convergence of a cass of quasi-Newton methods on convex problems
RH Byrd, J Nocedal, YX Yuan
SIAM Journal on Numerical Analysis 24 (5), 1171-1190, 1987
3851987
Projected Hessian updating algorithms for nonlinearly constrained optimization
J Nocedal, ML Overton
SIAM Journal on Numerical Analysis 22 (5), 821-850, 1985
3181985
Combining trust region and line search techniques
J Nocedal, Y Yuan
Advances in nonlinear programming, 153-175, 1998
2971998
On the solution of equality constrained quadratic programming problems arising in optimization
NIM Gould, ME Hribar, J Nocedal
SIAM Journal on Scientific Computing 23 (4), 1376-1395, 2001
2892001
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