2002, Nonconvex optimization and its applications, ISBN 1402005504, Volume 60., xxviii, 329

Many questions dealing with solvability, stability and solution methods for va- ational inequalities or equilibrium, optimization and complementarity problems...

Nonsmooth optimization | Mathematical optimization | Computer science | Computational Mathematics and Numerical Analysis | Calculus of Variations and Optimal Control; Optimization | Approximations and Expansions | Mathematics | Functional analysis | Optimization

Nonsmooth optimization | Mathematical optimization | Computer science | Computational Mathematics and Numerical Analysis | Calculus of Variations and Optimal Control; Optimization | Approximations and Expansions | Mathematics | Functional analysis | Optimization

Book

1998, Graduate texts in mathematics, ISBN 0387983368, Volume 178, vii, 272

In the last decades the subject of nonsmooth analysis has grown rapidly due to the recognition that nondifferentiable phenomena are more widespread, and play a...

Nonsmooth optimization | Control theory | Systems theory | Calculus of Variations and Optimal Control; Optimization | Systems Theory, Control | Mathematical optimization

Nonsmooth optimization | Control theory | Systems theory | Calculus of Variations and Optimal Control; Optimization | Systems Theory, Control | Mathematical optimization

Book

1975, Mathematical programming study, ISBN 0444110089, Volume 3, xi, 178

Book

2011, ISBN 1420094238, xix, 424

"This book presents a methodology for comprehensive treatment of nonsmooth laws in mechanics in accordance with contemporary theory and algorithms of...

Convex sets | Duality theory (Mathematics) | Mechanics, Analytic | Mechanics, Applied | Contact mechanics | Nonsmooth mathematical analysis | Nonsmooth optimization | Mathematics

Convex sets | Duality theory (Mathematics) | Mechanics, Analytic | Mechanics, Applied | Contact mechanics | Nonsmooth mathematical analysis | Nonsmooth optimization | Mathematics

Book

2014, 2014, ISBN 9783319081137, 377

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a...

Mathematics | Nonsmooth optimization | Calculus of Variations and Optimal Control; Optimization | Numeric Computing | Economics/Management Science | Continuous Optimization | Operations Research, Management Science | Operation Research/Decision Theory | Optimization

Mathematics | Nonsmooth optimization | Calculus of Variations and Optimal Control; Optimization | Numeric Computing | Economics/Management Science | Continuous Optimization | Operations Research, Management Science | Operation Research/Decision Theory | Optimization

eBook

1990, ISBN 0898712564, Volume 5., xii, 308

Book

2005, Mathematical concepts and methods in science and engineering, ISBN 038724770X, Volume 49, v.

Book

1985, Lecture notes in mathematics, ISBN 9780387156422, Volume 1133, vi, 362

Book

2014, ISBN 9781439868201, xv, 280

"Until now, no book addressed convexity, monotonicity, and variational inequalities together. Generalized Convexity, Nonsmooth Variational Inequalities, and...

Inequalities (Mathematics) | MATHEMATICS / Applied | BUSINESS & ECONOMICS / Operations Research | TECHNOLOGY & ENGINEERING / Operations Research | Nonsmooth optimization

Inequalities (Mathematics) | MATHEMATICS / Applied | BUSINESS & ECONOMICS / Operations Research | TECHNOLOGY & ENGINEERING / Operations Research | Nonsmooth optimization

Book

1992, ISBN 9810207735, xii, 254

Book

IEEE Transactions on Power Systems, ISSN 0885-8950, 05/2009, Volume 24, Issue 2, pp. 991 - 1001

In this paper an improved coordinated aggregation-based particle swarm optimization (ICA-PSO) algorithm is introduced for solving the optimal economic load...

Adaptive velocity limits | heuristic optimization techniques | System testing | coordinated aggregation | Power system management | Power generation economics | Power system economics | Particle swarm optimization | economic dispatch | Convergence | Power system simulation | nonsmooth cost functions | Cost function | Power systems | Power generation | Heuristic optimization techniques | Economic dispatch | Nonsmooth cost functions | Coordinated aggregation | COST-FUNCTIONS | SOLVE | particle swarm optimization | GENERATOR CONSTRAINTS | DIFFERENTIAL EVOLUTION | GENETIC ALGORITHM | ENGINEERING, ELECTRICAL & ELECTRONIC | POWER-SYSTEMS | Heuristic programming | Usage | Algorithms | Economic aspects | Research | Design and construction | Electric power systems | Mathematical optimization | Methods

Adaptive velocity limits | heuristic optimization techniques | System testing | coordinated aggregation | Power system management | Power generation economics | Power system economics | Particle swarm optimization | economic dispatch | Convergence | Power system simulation | nonsmooth cost functions | Cost function | Power systems | Power generation | Heuristic optimization techniques | Economic dispatch | Nonsmooth cost functions | Coordinated aggregation | COST-FUNCTIONS | SOLVE | particle swarm optimization | GENERATOR CONSTRAINTS | DIFFERENTIAL EVOLUTION | GENETIC ALGORITHM | ENGINEERING, ELECTRICAL & ELECTRONIC | POWER-SYSTEMS | Heuristic programming | Usage | Algorithms | Economic aspects | Research | Design and construction | Electric power systems | Mathematical optimization | Methods

Journal Article

1983, ISBN 047187504X, xiii, 308

Book

2012, Springer optimization and its applications, ISBN 1461418968, Volume 64.

Web Resource

Journal of Optimization Theory and Applications, ISSN 0022-3239, 8/2013, Volume 158, Issue 2, pp. 460 - 479

We propose a new first-order splitting algorithm for solving jointly the primal and dual formulations of large-scale convex minimization problems involving the...

Monotone inclusion | Mathematics | Theory of Computation | Optimization | Primal–dual algorithm | Douglas–Rachford method | Proximal method | Fenchel–Rockafellar duality | Calculus of Variations and Optimal Control; Optimization | Operations Research/Decision Theory | Forward–backward method | Operator splitting | Applications of Mathematics | Engineering, general | Convex and nonsmooth optimization | Douglas-Rachford method | Primal-dual algorithm | Fenchel-Rockafellar duality | Forward-backward method | MATHEMATICS, APPLIED | DECOMPOSITION | SUM | ALGORITHMS | RECOVERY | MONOTONE INCLUSIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MINIMIZATION | CONVERGENCE | OPERATORS | Analysis | Methods | Algorithms | Studies | Convex analysis | Formulations | Operators | Splitting | Composite functions | Inversions | Linear operators | Optimization and Control | Engineering Sciences | Signal and Image processing

Monotone inclusion | Mathematics | Theory of Computation | Optimization | Primal–dual algorithm | Douglas–Rachford method | Proximal method | Fenchel–Rockafellar duality | Calculus of Variations and Optimal Control; Optimization | Operations Research/Decision Theory | Forward–backward method | Operator splitting | Applications of Mathematics | Engineering, general | Convex and nonsmooth optimization | Douglas-Rachford method | Primal-dual algorithm | Fenchel-Rockafellar duality | Forward-backward method | MATHEMATICS, APPLIED | DECOMPOSITION | SUM | ALGORITHMS | RECOVERY | MONOTONE INCLUSIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MINIMIZATION | CONVERGENCE | OPERATORS | Analysis | Methods | Algorithms | Studies | Convex analysis | Formulations | Operators | Splitting | Composite functions | Inversions | Linear operators | Optimization and Control | Engineering Sciences | Signal and Image processing

Journal Article

1995, ISBN 9810222653, viii, 427

Book

International Journal of Robust and Nonlinear Control, ISSN 1049-8923, 12/2017, Volume 27, Issue 18, pp. 4421 - 4442

A novel sequential semi‐definite programming method is developed for optimization subject to rank constraints on matrix‐valued nonlinear functions of matrix...

matrix‐rank constraint | control | reduced‐order LPV‐LFT | nonlinear programming | matrix-rank constraint | reduced-order LPV-LFT | RANK MINIMIZATION | MATHEMATICS, APPLIED | NONSMOOTH OPTIMIZATION | OUTPUT-FEEDBACK | CONTROL DESIGN | BILINEAR MATRIX INEQUALITIES | H control | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | H-infinity control | Computer simulation | Programmable logic devices | Solvers | Model reduction | Matrix methods | Optimization | Data Structures and Algorithms | Computer Science

matrix‐rank constraint | control | reduced‐order LPV‐LFT | nonlinear programming | matrix-rank constraint | reduced-order LPV-LFT | RANK MINIMIZATION | MATHEMATICS, APPLIED | NONSMOOTH OPTIMIZATION | OUTPUT-FEEDBACK | CONTROL DESIGN | BILINEAR MATRIX INEQUALITIES | H control | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | H-infinity control | Computer simulation | Programmable logic devices | Solvers | Model reduction | Matrix methods | Optimization | Data Structures and Algorithms | Computer Science

Journal Article

SIAM Journal on Optimization, ISSN 1052-6234, 2011, Volume 21, Issue 3, pp. 1109 - 1140

In practical applications of optimization it is common to have several conflicting objective functions to optimize. Frequently, these functions are subject to...

Data profiles | Performance profiles | Multiobjective optimization | Nonsmooth calculus | Pareto dominance | Positive spanning sets | Direct-search methods | Derivative-free optimization | positive spanning sets | MATHEMATICS, APPLIED | data profiles | TEST PROBLEM TOOLKIT | nonsmooth calculus | EVOLUTIONARY ALGORITHMS | derivative-free optimization | direct-search methods | multiobjective optimization | GENERATION | DIRECT SEARCH | performance profiles

Data profiles | Performance profiles | Multiobjective optimization | Nonsmooth calculus | Pareto dominance | Positive spanning sets | Direct-search methods | Derivative-free optimization | positive spanning sets | MATHEMATICS, APPLIED | data profiles | TEST PROBLEM TOOLKIT | nonsmooth calculus | EVOLUTIONARY ALGORITHMS | derivative-free optimization | direct-search methods | multiobjective optimization | GENERATION | DIRECT SEARCH | performance profiles

Journal Article

IEEE Signal Processing Letters, ISSN 1070-9908, 08/2014, Volume 21, Issue 8, pp. 985 - 989

We propose new optimization algorithms to minimize a sum of convex functions, which may be smooth or not and composed or not with linear operators. This...

Inverse problems | Convex nonsmooth optimization | regularized inverse problem | Signal processing algorithms | Imaging | proximal splitting algorithm | Convex functions | Hilbert space | total variation | Optimization | Convergence | MONOTONE INCLUSIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Linear systems | Splitting | Algorithms | Mathematical analysis | Inverse | Engineering Sciences | Signal and Image processing

Inverse problems | Convex nonsmooth optimization | regularized inverse problem | Signal processing algorithms | Imaging | proximal splitting algorithm | Convex functions | Hilbert space | total variation | Optimization | Convergence | MONOTONE INCLUSIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Linear systems | Splitting | Algorithms | Mathematical analysis | Inverse | Engineering Sciences | Signal and Image processing

Journal Article

1989, CBMS-NSF regional conference series in applied mathematics, ISBN 9780898712414, Volume 57, 90 p. cm. --

Book

03/2019, ISBN 9783030113698, 154

eBook

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