Optimization with multivalued mappings :
β Stephan Dempe; V V Kalashnikov
π Library
π
2006
π Springer
π English
β¦ LIBER β¦
π
Optimization with Multivalued Mappings: Theory, Applications and Algorithms (Springer Optimization and Its Applications)
β Scribed by Stephan Dempe, Vyacheslav Kalashnikov
- Year
- 2006
- Tongue
- English
- Leaves
- 278
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Optimization with Multivalued Mappings:
β Dempe S. (ed.), Kalashnikov V. (ed.)
π Library
π
2006
π English
"In the field of nondifferentiable nonconvex optimization, one of the most intensely investigated areas is that of optimization problems involving multivalued mappings in constraints or as the objective function. This book focuses on the tremendous development in the field that has taken place since
Optimization with Multivalued Mappings:
β Wolfgang DemtrΓΆder
π Library
π
2006
π Springer
π English
<P>In the field of nondifferentiable nonconvex optimization, one of the most intensely investigated areas is that of optimization problems involving multivalued mappings in constraints or as the objective function. This book focuses on the tremendous development in the field that has taken place sin
Optimization with Multivalued Mappings:
β Stephan Dempe, Vyacheslav Kalashnikov
π Library
π
2006
π Springer
π English
Optimization and Control of Bilinear Sys
β Panos M. Pardalos, Vitaliy Yatsenko
π Library
π
2008
π English
Covers developments in bilinear systems theory Focuses on the control of open physical processes functioning in a non-equilibrium mode Emphasis is on three primary disciplines: modern differential geometry, control of dynamical systems, and optimization theory Includes applications to the fiel
Optimal Quadratic Programming Algorithms
β Zdenek Dostal
π Library
π
2009
π English
Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and focuses on algorithms which are, i