optimization theory


Also found in: Dictionary, Thesaurus.

optimization theory

[‚äp·tə·mə′zā·shən ‚thē·ə·rē]
(mathematics)
The specific methodology, techniques, and procedures used to decide on the one specific solution in a defined set of possible alternatives that will best satisfy a selected criterion; includes linear and nonlinear programming, stochastic programming, and control theory. Also known as mathematical programming.
References in periodicals archive ?
Two-person second-order games, Part 2: restructuring operations to reach a win-win profile, Journal of Optimization Theory and Applications 141(3): 641-659.
Lipschitzian optimization without the Lipschitz constant, Journal of Optimization Theory and Application 79(1): 157-181.
The papers, which represent the contributors' current research, are grouped according to often broad session topics that include modeling and simulation, rough set and data mining, fuzzy system and application, circuit design and system, fuzzy automation, and optimization theory and application.
This book really has it all from rasterization techniques, lighting models, Z, 1/Z buffering, MipMapping, affine, perspective corrected texturing with approximations, bilinear and trilinear filtering, alpha blending techniques for real-time, camera models, shadow generation, light mapping, BSPs, Octrees, occlusion culling, basic MD2 character animation, optimization theory, and a lot more.
Optimization theory and related topics; proceedings.
This volume addresses research on a number of fields, including fixed-point theory, convex and set-valued analysis, variational inequality, and complementary problem theory, nonlinear ergodic theory, difference, differential and integral equations, control and optimization theory, dynamic system theory, inequality theory, stochastic analysis and probability theory, and their applications.
This is an excellent opportunity to provide insight to a company that is leading the integration of optimization theory with core corporate principles to significantly enhance managerial decision making," said Pinchas Ben-Or, TAB member and Executive Director of Marketing Information at Time Consumer Marketing.
He describes models that have roots in optimization theory and show Lagrange multipliers and complementary principles not only as methods to minimize functions subject to constraints, but also as ways of formulating dynamic models to systems with hard constraints.
Saengudomlert (Asian Institute of Technology) introduces optimization theory and its applications to senior undergraduate and first-year graduate students.
Fully updated to reflect modern developments in the field, An Introduction to Optimization, Third Edition fills the need for an accessible, yet rigorous, introduction to optimization theory and methods.
For research mathematicians and graduate students in optimization theory, they discuss such topics as tools for convex optimization, basic optimality conditions using the normal cone, enhancing Fritz John optimality conditions, sequential optimality conditions, weak sharp minima in convex optimization, and convexity in non-convex optimization.

Full browser ?