Umfang:
Online-Ressource (X, 140 p. 30 illus., 25 illus. in color, online resource)
ISBN:
9783662463567
Serie:
Springer Optimization and Its Applications 103
Inhalt:
Preliminary Knowledge -- Support Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems
Inhalt:
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
Anmerkung:
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.
Weitere Ausg.:
ISBN 9783662463550
Weitere Ausg.:
Druckausg. Lǐ, Lì Selected applications of convex optimization Beijing : Tsinghua Univ. Press, 2015 ISBN 9787302390299
Weitere Ausg.:
ISBN 3662463555
Weitere Ausg.:
ISBN 9783662463550
Sprache:
Englisch
Schlagwort(e):
Konvexe Optimierung
DOI:
10.1007/978-3-662-46356-7
URL:
Volltext
(lizenzpflichtig)
