Selected Applications of Convex Optimization

Beschreibung

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
Presents applications of convex optimization issues arranged in a synthetic way Demonstrates the interplay of convex optimization theory and applications of carefully designed Matlab sample codes Introduces all derivation processes in details so that readers can teach themselves without any difficulties

Autor*in

Li Li

Themen in »Selected Applications of Convex Optimization«

Convex Optimization Convex Relaxation Expectation Maximization Linear Matrix Inequalities Support Vector Machines data mining

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“Selected Applications of Convex Optimization is a brief book, only 140 pages, and includes exercises with each chapter. It would be a good supplemental text for an optimization or machine learning course.” (John D. Cook, MAA Reviews, maa.org, December, 2015)

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