Selected Applications of Convex Optimization

Presents applications of convex optimization issues arranged in a synthetic wayDemonstrates the interplay of convex optimization theory and applications of carefully designed Matlab sample codesIntroduces all derivation processes in details so that readers can teach themselves without any difficultiesThis 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.Content Level » ResearchKeywords » Convex Optimization - Convex Relaxation - Expectation Maximization - Linear Matrix Inequalities - Support Vector Machines - data miningRelated subjects » Applications - Computational Science & Engineering - Mathematics