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Discrete Convex Analysis - SIAM Monographs on Mathematics

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Description

Explore a new paradigm for discrete optimization with Discrete Convex Analysis. This book bridges the gap between continuous optimization and combinatorial optimization, specifically combining convex analysis with matroid and submodular function theory. By establishing a unified theoretical framework, it provides a foundation for nonlinear discrete optimization. This self-contained text is built for researchers and professionals looking to gain insight into optimization on discrete structures. As the field grows, this resource serves as a guide to the development of efficient algorithms and their practical applications. The concepts covered find relevance across multiple technical disciplines, including matrix theory, operations research, and economics. Whether you are studying mathematical theory or looking for algorithmic applications, this SIAM monograph offers a comprehensive look at a rapidly expanding area of study.

Key Features

Provides a unified theoretical framework for nonlinear discrete optimization by combining continuous and combinatorial optimization ideas.

Offers a self-contained study designed to give deep insight into the complexities of optimization on discrete structures.

Covers essential topics such as matroid and submodular function theory to support advanced mathematical research.

Applicable to diverse technical fields including matrix theory, economics, and operations research.

Supports the study of efficient algorithms through the lens of a novel discrete optimization paradigm.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 July 2013
Listed Since
31 March 2017

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