Description: Convex Analysis for Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). A Unified Approach Author(s): Jan Brinkhuis Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030418038, 978-3030418038 Synopsis 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
Price: 84.92 GBP
Location: Aldershot
End Time: 2024-11-23T15:35:07.000Z
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Book Title: Convex Analysis for Optimization
Number of Pages: 257 Pages
Publication Name: Convex Analysis for Optimization: a Unified Approach
Language: English
Publisher: Springer Nature Switzerland A&G
Item Height: 235 mm
Subject: Mathematics, Management
Publication Year: 2020
Type: Textbook
Item Weight: 600 g
Subject Area: Data Analysis
Author: Jan Brinkhuis
Item Width: 155 mm
Series: Graduate Texts in Operations Research
Format: Hardcover
