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Lagrange-type Functions in Constrained Non-Convex Optimization
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Type: BOOK - Published: 2013-11-27 - Publisher: Springer Science & Business Media

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Lagrange and penalty function methods provide a powerful approach, both as a theoretical tool and a computational vehicle, for the study of constrained optimiza
Constrained Optimization and Image Space Analysis
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Authors: Franco Giannessi
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Type: BOOK - Published: 2005-06-15 - Publisher: Springer Science & Business Media

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Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has been working on an approach to optimization theory based on image spa
Duality for Nonconvex Approximation and Optimization
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Authors: Ivan Singer
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Type: BOOK - Published: 2007-03-12 - Publisher: Springer Science & Business Media

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The theory of convex optimization has been constantly developing over the past 30 years. Most recently, many researchers have been studying more complicated cla
Vector Optimization
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Vector optimization model has found many important applications in decision making problems such as those in economics theory, management science, and engineeri
Introduction to the Theory of Nonlinear Optimization
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Authors: Johannes Jahn
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This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It presents fundamentals with p