Keyword

nonsmooth optimization

Description: Optimization of objective functions or constraints that may lack classical differentiability, using generalized derivatives or other specialized methods.

Primary topic: Optimization and Variational Analysis (37%)

OpenAlex ID: keywords/nonsmooth-optimization

Optimization and Nonsmooth Analysis

1990 · Frank H. Clarke · Society for Industrial and Applied Mathematics eBooks · 10,267

Optimization of conditional value-at-risk

2000 · R. Tyrrell Rockafellar, Stanislav Uryasev · The Journal of Risk · 6,695

Nonlinear programming: theory and algorithms

1993 · Computers & Operations Research · 5,779

Nonlinear Multiobjective Optimization

1998 · Kaisa Miettinen · International series in management science/operations research/International series in operations research & management science · 4,821

Proximal Algorithms

2014 · Neal Parikh, Stephen Boyd · Foundations and Trends® in Optimization · 4,095

The Economics of Modern Manufacturing: Technology, Strategy, and Organization

1990 · Paul Milgrom, John Roberts · American Economic Review · 2,643

Proximal alternating linearized minimization for nonconvex and nonsmooth problems

2013 · Jérôme Bolte, Shoham Sabach, et al. · Mathematical Programming · 1,692

Minimization Methods for Non-Differentiable Functions

1985 · Naum Zuselevich Shor · Springer series in computational mathematics · 1,551

Simulation and the Asymptotics of Optimization Estimators

1989 · Ariel Pakes, David Pollard · Econometrica · 1,495

A novel heuristic optimization method: charged system search

2010 · A. Kaveh, S. Talatahari · Acta Mechanica · 1,356

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

2013 · Meisam Razaviyayn, Mingyi Hong, et al. · SIAM Journal on Optimization · 1,308

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Gradient methods for minimizing composite functions

2012 · Yu. Nesterov · Mathematical Programming · 1,299

Derivative-free optimization: a review of algorithms and comparison of software implementations

2012 · Luis Miguel Rios, Nikolaos V. Sahinidis · Journal of Global Optimization · 1,271

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Mesh Adaptive Direct Search Algorithms for Constrained Optimization

2006 · Charles Audet, J. E. Dennis · SIAM Journal on Optimization · 1,243

The Linear Complementarity Problem.

1993 · M. E. Brigden, R. W. Cottle, et al. · Journal of the Royal Statistical Society Series A (Statistics in Society) · 1,161

An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

2010 · M V Afonso, José M Bioucas-Dias, et al. · IEEE Transactions on Image Processing · 945

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A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

2012 · Laurent Condat · Journal of Optimization Theory and Applications · 913

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

2016 · Hamed Karimi, Julie Nutini, et al. · Lecture notes in computer science · 872

Handbook of applied optimization

2002 · Choice Reviews Online · 867

Rigorous Global Search: Continuous Problems

1996 · R. Baker Kearfott · Nonconvex optimization and its applications · 846

A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration

1999 · Tony F. Chan, Gene H. Golub, et al. · SIAM Journal on Scientific Computing · 840

Random Gradient-Free Minimization of Convex Functions

2015 · Yurii Nesterov, Vladimir Spokoiny · Foundations of Computational Mathematics · 826

The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems

2005 · Le Thi Hoai An, Pham Dinh Tao · Annals of Operations Research · 801

Fast Alternating Direction Optimization Methods

2014 · Tom Goldstein, Brendan O'Donoghue, et al. · SIAM Journal on Imaging Sciences · 785

Strong Convergence of Projected Subgradient Methods for Nonsmooth and Nonstrictly Convex Minimization

2008 · Paul-Emile Maingé · Set-Valued Analysis · 781

Works count: 9,208

Citation count: 188,900