Format:
Online-Ressource (X, 140 p. 30 illus., 25 illus. in color, online resource)
ISBN:
9783662463567
Series Statement:
Springer Optimization and Its Applications 103
Content:
Preliminary Knowledge -- Support Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems
Content:
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
Note:
Jointly published with Tsinghua Univ. Press, Beijing
,
Preliminary KnowledgeSupport Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems.
Additional Edition:
ISBN 9783662463550
Additional Edition:
Erscheint auch als Druck-Ausgabe Lǐ, Lì Selected applications of convex optimization Beijing : Tsinghua Univ. Press, 2015 ISBN 9787302390299
Additional Edition:
ISBN 3662463555
Additional Edition:
ISBN 9783662463550
Language:
English
Keywords:
Konvexe Optimierung
DOI:
10.1007/978-3-662-46356-7
URL:
Volltext
(lizenzpflichtig)
