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Advances in Global Optimization / edited by David Gao, Ning Ruan, Wenxun Xing
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 95)

Edition 1st ed. 2015.
Publisher Cham : Springer International Publishing : Imprint: Springer
Year 2015
Language English
Size XIII, 537 p. 111 illus., 59 illus. in color : online resource
Authors Gao, David editor
Ruan, Ning editor
Xing, Wenxun editor
SpringerLink (Online service)
Subjects LCSH:Mathematical optimization
LCSH:Calculus of variations
LCSH:Engineering mathematics
LCSH:Engineering -- Data processing  All Subject Search
FREE:Calculus of Variations and Optimization
FREE:Mathematical and Computational Engineering Applications
FREE:Continuous Optimization
FREE:Discrete Optimization
Notes Part I: Mathematical Programming -- Part II: Combinatorial Optimization -- Part III: Duality Theory -- Part IV: Topology Optimization -- Part V: Variational Inequalities and Complementarity Problems -- Part VI: Numerical Optimization -- Part VII: Stochastic Models and Simulation -- Part VIII: Complex Simulation and Supply Chain Analysis
This proceedings volume addresses advances in global optimization—a multidisciplinary research field that deals with the analysis, characterization, and computation of global minima and/or maxima of nonlinear, non-convex, and nonsmooth functions in continuous or discrete forms. The volume contains selected papers from the third biannual World Congress on Global Optimization in Engineering & Science (WCGO), held in the Yellow Mountains, Anhui, China on July 8-12, 2013. The papers fall into eight topical sections: mathematical programming; combinatorial optimization; duality theory; topology optimization; variational inequalities and complementarity problems; numerical optimization; stochastic models and simulation; and complex simulation and supply chain analysis
HTTP:URL=https://doi.org/10.1007/978-3-319-08377-3
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Springer eBooks 9783319083773
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EB00235384

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Material Type E-Book
Classification LCC:QA402.5-402.6
LCC:QA315-316
DC23:519.6
DC23:515.64
ID 4000117683
ISBN 9783319083773

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