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.
表中的内容
Preliminary Knowledge.- Support Vector Machines.- Parameter Estimations.- Norm Approximation and Regulariztion.- Semi-Definite Programing and Linear Matrix Inequalities.- Convex Relaxation.- Geometric Problems.
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语言 英语 ● 格式 PDF ● 网页 140 ● ISBN 9783662463567 ● 出版者 Springer Berlin ● 市 Heidelberg ● 国家 DE ● 发布时间 2015 ● 下载 24 个月 ● 货币 EUR ● ID 4111992 ● 复制保护 Adobe DRM
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