Description: Convex Optimization : Introductory Course, Hardcover by Moklyachuk, Mikhail, ISBN 1786306832, ISBN-13 9781786306838, Like New Used, Free shipping in the US 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 th 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 th. Undergraduate and graduate students, researchers in different disciplines, as well as practitioners will all benefit from this accessible approach to convex optimization methods.
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Book Title: Convex Optimization : Introductory Course
Number of Pages: 272 Pages
Publication Name: Convex Optimization : Introductory Course
Language: English
Publisher: Wiley & Sons, Incorporated, John
Subject: Probability & Statistics / General, General
Publication Year: 2021
Item Height: 0.4 in
Item Weight: 16 Oz
Type: Textbook
Author: Mikhail Moklyachuk
Item Length: 0.4 in
Subject Area: Mathematics
Item Width: 0.4 in
Format: Hardcover
