Convex Analysis for Optimization

Convex Analysis for Optimization
Author :
Publisher : Springer Nature
Total Pages : 278
Release :
ISBN-10 : 9783030418045
ISBN-13 : 3030418049
Rating : 4/5 (049 Downloads)

Book Synopsis Convex Analysis for Optimization by : Jan Brinkhuis

Download or read book Convex Analysis for Optimization written by Jan Brinkhuis and published by Springer Nature. This book was released on 2020-05-05 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization. The book introduces a systematic three-step method for doing everything, which can be summarized as "conify, work, deconify". It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use. "The author deals with the delicate subjects in a precise yet light-minded spirit... For experts in the field, this book not only offers a unifying view, but also opens a door to new discoveries in convexity and optimization...perfectly suited for classroom teaching." Shuzhong Zhang, Professor of Industrial and Systems Engineering, University of Minnesota


Convex Analysis for Optimization Related Books

Convex Analysis for Optimization
Language: en
Pages: 278
Authors: Jan Brinkhuis
Categories: Business & Economics
Type: BOOK - Published: 2020-05-05 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including
Convex Analysis and Optimization
Language: en
Pages: 558
Authors: Dimitri Bertsekas
Categories: Mathematics
Type: BOOK - Published: 2003-03-01 - Publisher: Athena Scientific

DOWNLOAD EBOOK

A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. The book provides a comprehensive developm
Convex Analysis and Nonlinear Optimization
Language: en
Pages: 316
Authors: Jonathan Borwein
Categories: Mathematics
Type: BOOK - Published: 2010-05-05 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisti
Convex Optimization Algorithms
Language: en
Pages: 576
Authors: Dimitri Bertsekas
Categories: Mathematics
Type: BOOK - Published: 2015-02-01 - Publisher: Athena Scientific

DOWNLOAD EBOOK

This book provides a comprehensive and accessible presentation of algorithms for solving convex optimization problems. It relies on rigorous mathematical analys
Convex Analysis and Global Optimization
Language: en
Pages: 346
Authors: Hoang Tuy
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Due to the general complementary convex structure underlying most nonconvex optimization problems encountered in applications, convex analysis plays an essentia