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Cambridge University Press Algorithms for Convex Optimization

Name: Algorithms for Convex Optimization
Brand: Cambridge University Press
Price: 69.46 GBP
Availability: InStock

Algorithms

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In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108482023
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 07 October 2021
Listed Since: 19 November 2020

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Cambridge University Press Algorithms for Convex Optimization

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