Large-Scale Convex Optimization - Algorithms & Analyses via Monotone Operators (Hardcover)

Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods - including parallel-distributed algorithms - through the abstraction of monotone operators. With the increased computational power and availability of big data over the past decade, applied disciplines have demanded that larger and larger optimization problems be solved. This text covers the first-order convex optimization methods that are uniquely effective at solving these large-scale optimization problems. Readers will have the opportunity to construct and analyze many well-known classical and modern algorithms using monotone operators, and walk away with a solid understanding of the diverse optimization algorithms. Graduate students and researchers in mathematical optimization, operations research, electrical engineering, statistics, and computer science will appreciate this concise introduction to the theory of convex optimization algorithms.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	November 2022
Authors:	Ernest K. Ryu • Wotao Yin
Dimensions:	254 x 178 x 19mm (L x W x T)
Format:	Hardcover
Pages:	400
ISBN-13:	978-1-00-916085-8
Categories:	Books > Science & Mathematics > Mathematics > Geometry > General Promotions
LSN:	1-00-916085-0
Barcode:	9781009160858

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!