Selected Applications of Convex Optimization
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Description
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 Front Matter....Pages i-x Preliminary Knowledge....Pages 1-15 Support Vector Machines....Pages 17-52 Parameter Estimations....Pages 53-78 Norm Approximation and Regularization....Pages 79-98 Semidefinite Programming and Linear Matrix Inequalities....Pages 99-114 Convex Relaxation....Pages 115-126 Geometric Problems....Pages 127-138 Back Matter....Pages 139-140
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