Convex Optimization(1st Edition)

Authors:

Stephen Boyd, Lieven Vandenberghe

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$0

List Price: $77.99 Savings: $77.99 (100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Convex Optimization

Price:

$9.99

/month

Book details

ISBN: 1107299527, 9781107299528

Book publisher: Cambridge University Press

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Book Price $0 : Convex Optimization by Stephen Boyd and Lieven Vandenberghe is a comprehensive textbook that delves into the methodologies and applications of convex optimization. This essential resource for students and professionals alike explores the theory and practice of optimization, providing an authoritative introduction to the subject. The book covers key concepts such as convex sets, functions, and optimization problems, meticulously explaining duality and the simplex method. Readers gain insight into practical optimization methods, including interior-point methods and robust optimization, which are pivotal in solving real-world problems across diverse fields like machine learning, economics, and engineering. The book's structure is methodical, beginning with a well-organized table of content, which guides the reader through each topic progressively. To facilitate understanding and promote active learning, the authors include a solution manual for exercises, providing a thorough answer key that aids in verifying solutions and enhancing comprehension. Convex Optimization is renowned for its clarity and depth, making it an invaluable text not just in theoretical studies but also in practical applications where efficient algorithms and programming languages such as MATLAB or Python are discussed. It has received positive receptions for its educational value, rigorous approach, and accessibility to both novices and experts in optimization. This concise, cheap reference acts as a valuable supplement alongside more comprehensive academic materials.