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Princeton University Press Optimization - A Theory of Necessary Conditions - Princeton Press

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Description

Explore a deep academic study of optimization through this volume from the Princeton Legacy Library. This book provides a comprehensive treatment of necessary conditions for general optimization problems, specifically within the framework of a general theory for extremal problems in a topological vector space setting. Readers will find a structured approach that begins with a summary of required background knowledge before moving into advanced mathematical derivations. The text covers generalized Lagrange multiplier rules for optimization problems that involve both equality and generalized inequality constraints. By examining the delicate balance between differentiability and continuity, this work addresses the importance of the underlying set used for optimization. It serves as a significant resource for those studying mathematical theory and technical reference materials within the field of optimization and topological vector spaces.

Key Features

Covers necessary conditions for general optimization problems in a topological vector space setting.

Includes derivations for generalized Lagrange multiplier rules for equality and inequality constraints.

Provides a brief summary of necessary background information to assist readers.

Examines the relationship between differentiability and continuity in mathematical optimization.

Part of the Princeton Legacy Library, offering high-level academic content from Princeton University Press.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 May 2016
Listed Since
10 February 2016

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