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  • Search: subject:"Minimax problems"
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Year of publication
Subject
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Minimax problems 4 black-box methods 2 convex optimization 2 lower complexity bounds 2 minimax problems 2 non-smooth optimization 2 nonlinear optimization 2 parametric embedding 2 parametric optimization 2 pathfollowing methods 2 saddle points 2 stochastic optimization 2 subgradient methods 2 variational inequalities 2 Arithmetical crossover 1 Derivative-free optimization 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Ganzzahlige Optimierung 1 Generalized gradient 1 Genetic algorithm 1 Integer programming 1 Integer programming problems 1 Mathematical programming 1 Mathematische Optimierung 1 Nelder-Mead method 1 Particle swarm optimization 1 Subgradient approximation 1 Theorie 1 Theory 1
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Online availability
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Undetermined 4 Free 2
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 5 English 1
Author
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Guerra, Francisco 2 López, Guillermo 2 Ali, Ahmed F. 1 Hare, W. 1 NESTEROV, Y. 1 NESTEROV, Yu. 1 Nutini, J. 1 Tawhid, Mohamed A. 1
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Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 2
Published in...
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CORE Discussion Papers 2 Computational Optimization and Applications 1 Computational Statistics 1 Mathematical Methods of Operations Research 1 Opsearch : journal of the Operational Research Society of India 1
Source
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RePEc 5 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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Simplex particle swarm optimization with arithmetical crossover for solving global optimization problems
Tawhid, Mohamed A.; Ali, Ahmed F. - In: Opsearch : journal of the Operational Research Society … 53 (2016) 4, pp. 705-740
Persistent link: https://www.econbiz.de/10011548963
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Barrier subgradient method
NESTEROV, Y. - Center for Operations Research and Econometrics (CORE), … - 2008
In this paper we develop a new primal-dual subgradient method for nonsmooth convex optimization problems. This scheme is based on a self-concordant barrier for the basic feasible set. It is suitable for finding approximate solutions with certain relative accuracy. We discuss some applications of...
Persistent link: https://www.econbiz.de/10005065359
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A derivative-free approximate gradient sampling algorithm for finite minimax problems
Hare, W.; Nutini, J. - In: Computational Optimization and Applications 56 (2013) 1, pp. 1-38
In this paper we present a derivative-free optimization algorithm for finite minimax problems. The algorithm calculates …
Persistent link: https://www.econbiz.de/10010998249
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Primal-dual subgradient methods for convex problems
NESTEROV, Yu. - Center for Operations Research and Econometrics (CORE), … - 2005
feasible set. We present the variants of subgradient schemes for nonsmooth convex minimization, minimax problems, saddle point …
Persistent link: https://www.econbiz.de/10005043237
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A parametric embedding for the finite minimax problem
Guerra, Francisco; López, Guillermo - In: Computational Statistics 49 (1999) 3, pp. 359-371
We consider unconstrained finite minimax problems where the objective function is described as a maximum of functions f …
Persistent link: https://www.econbiz.de/10010847757
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A parametric embedding for the finite minimax problem
Guerra, Francisco; López, Guillermo - In: Mathematical Methods of Operations Research 49 (1999) 3, pp. 359-371
We consider unconstrained finite minimax problems where the objective function is described as a maximum of functions f …
Persistent link: https://www.econbiz.de/10010999776
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