Algorithms for Convex Optimization (Cambridge University Press)
Friday, 08 October 2021

This book looks at how algorithms for convex optimization have become important in algorithm design for both discrete and continuous optimization problems. Nisheeth K. Vishnoi considers their use for problems like maximum flow, maximum matching, and submodular function minimization, and shows how the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods.

<ASIN:1108741770>

The aim 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.

Author: Nisheeth K. Vishnoi
Publisher: Cambridge University Press
Date: October 2021
Pages: 340
ISBN: 978-1108741774
Print: 1108741770
Kindle: B09D419HJB
Audience: General
Level: Intermediate/Advanced
Category: Theory & Techniques 

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


TensorFlow 2 Pocket Primer

Author: Oswald Campesato
Publisher: Mercury Learning
Pages: 252
ISBN: 978-1683924609
Print: 1683924606
Kindle: B07XD5R1XZ
Audience: Data Scientists, AI etc.
Rating: 4
Reviewer: Mike James
A small book on TensorFlow - good idea?



Geometrical Vectors

Author: Gabriel Weinreich
Publisher: University of Chicago Press
Pages: 126
ISBN: 978-0226890487
Print: 0226890481
Kindle: B01EYG40HO
Audience: Mathematicians, physicists and engineers.
Rating: 5
Reviewer: Mike James
Geometrical Vectors - are there any other kind?


More Reviews