Generalized Convexity and Optimization: Theory and Applications

Generalized Convexity and Optimization:

📁 Generalized Convexity and Optimization: Theory and Applications

✍ Prof. Alberto Cambini, Prof. Laura Martein (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The authors have written a rigorous yet elementary and self-contained book to present, in a unified framework, generalized convex functions, which are the many non-convex functions that share at least one of the valuable properties of convex functions and which are often more suitable for desc

Generalized Convexity and Optimization:

📁 Generalized Convexity and Optimization: Theory and Applications

✍ Prof. Alberto Cambini, Prof. Laura Martein (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The authors have written a rigorous yet elementary and self-contained book to present, in a unified framework, generalized convex functions, which are the many non-convex functions that share at least one of the valuable properties of convex functions and which are often more suitable for desc

Generalized Convexity and Optimization:

📁 Generalized Convexity and Optimization: Theory and Applications

✍ Prof. Alberto Cambini, Prof. Laura Martein (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The authors have written a rigorous yet elementary and self-contained book to present, in a unified framework, generalized convex functions, which are the many non-convex functions that share at least one of the valuable properties of convex functions and which are often more suitable for desc

Generalized convexity and optimization:

📁 Generalized convexity and optimization: theory and applications

✍ Prof. Alberto Cambini, Prof. Laura Martein (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The authors have written a rigorous yet elementary and self-contained book to present, in a unified framework, generalized convex functions, which are the many non-convex functions that share at least one of the valuable properties of convex functions and which are often more suitable for desc

Generalized Convexity and Vector Optimiz

📁 Generalized Convexity and Vector Optimization (Nonconvex Optimization and Its Applications)

✍ Shashi Kant Mishra, Shou-Yang Wang, Kin Keung Lai 📂 Library 📅 2008 🌐 English

The present book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. Wolfe-type Duality, Mond-Weir type Duality, Mixed type Duality for Multiobjective optimization problems such as

Generalized Convexity and Vector Optimiz

📁 Generalized Convexity and Vector Optimization (Nonconvex Optimization and Its Applications)

✍ Shashi Kant Mishra, Shou-Yang Wang, Kin Keung Lai 📂 Library 📅 2008 🏛 Springer 🌐 English

The present book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. Wolfe-type Duality, Mond-Weir type Duality, Mixed type Duality for Multiobjective optimization problems such as

Generalized Convexity and Optimization: Theory and Applications

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