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portada Algorithms for Convex Optimization
Type
Physical Book
Author
Publisher
Year
2021
Language
English
Pages
340
Format
Paperback
Dimensions
22.9 x 15.2 x 1.9 cm
Weight
0.50 kg.
ISBN13
9781108741774
Edition No.
1
Categories

Algorithms for Convex Optimization

Nisheeth K. Vishnoi (Author) · Cambridge University Press · Paperback

Algorithms for Convex Optimization - Vishnoi, Nisheeth K.

New Book Imported to Taiwan
Delivery: 20 Jul - 28 Jul Shipping: 4 to 5 business days.
NT$ 1,898
NT$ 1,898

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Synopsis "Algorithms for Convex Optimization "

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.

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