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.
İçerik tablosu
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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Dil İngilizce ● Biçim PDF ● Sayfalar 140 ● ISBN 9783662463567 ● Yayımcı Springer Berlin ● Kent Heidelberg ● Ülke DE ● Yayınlanan 2015 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 4111992 ● Kopya koruma Adobe DRM
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