1656030500

Selected Applications of Convex Optimization / by Li Li

Englisch

Berlin, Heidelberg : Springer, 2015

Online-Ressource (X, 140 p. 30 illus., 25 illus. in color, online resource)

Jointly published with Tsinghua Univ. Press, Beijing

Druckausg.: Selected applications of convex optimization. - Beijing : Tsinghua Univ. Press, 2015. - X, 140 Seiten

978-3-662-46356-7

Weitere Ausgaben: 978-3-662-46355-0 (Druckausgabe)

DOI: 10.1007/978-3-662-46356-7

Preliminary KnowledgeSupport Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems.

*Konvexe Optimierung

*Mathematics ; Computer software ; Management science. ; Operations research. ; Mathematical models. ; Mathematics ; Computer software

Klassifikation der Library of Congress: QA402-402.37 ; T57.6-57.97 ; QA402-402.37 ; T57.6-57.97

Dewey Dezimal-Klassifikation: 519.6;

Book Industry Communication: KJM

bisacsh: BUS042000

Book Industry Communication: KJT

bisacsh: BUS049000

Book Industry Communication: KJT

bisacsh: BUS049000

Mathematics Subject Classification: *90-02

Mathematics Subject Classification: 90C25

Mathematics Subject Classification: 90C90

Mathematics Subject Classification: 00A69

Preliminary Knowledge -- Support Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems

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

https://zbmath.org/?q=an:1321.90005 [Zentralblatt MATH]

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https://doi.org/10.1007/978-3-662-46356-7 [E-books (Springer)]