Convex Optimization

Introductory Course

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Éditeur :

Wiley-ISTE


Paru le : 2021-01-05



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Description

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable objective functions; convex sets and their properties; convex functions and their properties and generalizations; and basic principles of sub-differential calculus and convex programming problems. Convex Optimization provides detailed proofs for most of the results presented in the book and also includes many figures and exercises for a better understanding of the material. Exercises are given at the end of each chapter, with solutions and hints to selected exercises given at the end of the book. Undergraduate and graduate students, researchers in different disciplines, as well as practitioners will all benefit from this accessible approach to convex optimization methods.
Pages
272 pages
Collection
n.c
Parution
2021-01-05
Marque
Wiley-ISTE
EAN papier
9781786306838
EAN PDF
9781119804079

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
272
Taille du fichier
3891 Ko
Prix
183,52 €
EAN EPUB
9781119804086

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
272
Taille du fichier
11704 Ko
Prix
183,52 €

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