Buying Options

Digital List Price: $32.00
Kindle Price: $24.49

Save $15.50 (39%)

These promotions will be applied to this item:

Some promotions may be combined; others are not eligible to be combined with other offers. For details, please see the Terms & Conditions associated with these promotions.

Deliver to your Kindle or other device

Buy for others

Give as a gift or purchase for a team or group.Learn more

Buying and sending eBooks to others

Select quantity
Buy and send eBooks
Recipients can read on any device

Additional gift options are available when buying one eBook at a time.  Learn more

These ebooks can only be redeemed by recipients in the US. Redemption links and eBooks cannot be resold.

Quantity: 
This item has a maximum order quantity limit.

Deliver to your Kindle or other device

<Embed>

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required. Learn more

Read instantly on your browser with Kindle Cloud Reader.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

Enter your mobile phone or email address

Processing your request...

By pressing "Send link," you agree to Amazon's Conditions of Use.

You consent to receive an automated text message from or on behalf of Amazon about the Kindle App at your mobile number above. Consent is not a condition of any purchase. Message & data rates may apply.

Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Algorithms for Convex Optimization by [Nisheeth K. Vishnoi]

Follow the Author

Something went wrong. Please try your request again later.

Algorithms for Convex Optimization Kindle Edition

5.0 out of 5 stars 2 ratings

Price
New from Used from
Kindle
$24.49

Audible Holiday Deal
Save 46% on your first 4 months. Get this deal
Create your FREE Amazon Business account to save up to 10% with Business-only prices and free shipping.

Editorial Reviews

Book Description

A concise, accessible guide to the modern optimization methods that are transforming computer science, data science, and machine learning. --This text refers to the paperback edition.

About the Author

Nisheeth K. Vishnoi is a Professor of Computer Science at Yale University. His research areas include theoretical computer science, optimization, and machine learning. He is a recipient of the Best Paper Award at IEEE FOCS in 2005, the IBM Research Pat Goldberg Memorial Award in 2006, the Indian National Science Academy Young Scientist Award in 2011, and the Best Paper award at ACM FAccT in 2019. He was elected an ACM Fellow in 2019. He obtained a bachelor degree in Computer Science and Engineering from IIT Bombay and a Ph.D. in Algorithms, Combinatorics and Optimization from Georgia Institute of Technology. --This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B09D419HJB
  • Publisher ‏ : ‎ Cambridge University Press (October 7, 2021)
  • Publication date ‏ : ‎ October 7, 2021
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 7644 KB
  • Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 340 pages
  • Lending ‏ : ‎ Not Enabled
  • Customer Reviews:
    5.0 out of 5 stars 2 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Nisheeth Vishnoi is the A. Bartlett Giamatti Professor of Computer Science and a co-founder of the Computation and Society Initiative at Yale University. He studies the foundations of computation and his research spans several areas of theoretical computer science, optimization, and machine learning. He is also interested in understanding nature and society from a computational viewpoint. Here, his current focus includes studying entropy, the emergence of intelligent behavior, and ethical problems at the interface of artificial intelligence and society.

He was the recipient of the Best Paper Award at IEEE FOCS in 2005, the IBM Research Pat Goldberg Memorial Award in 2006, the Indian National Science Academy Young Scientist Award in 2011, the IIT Bombay Young Alumni Achievers Award in 2016, and the Best Technical Paper award at ACM FAT* in 2019. He was named an ACM Fellow in 2019.

He holds a B. Tech., Computer Science and Engineering, Indian Institute of Technology Bombay, 1995-1999, Ph. D., Algorithms,

Combinatorics and Optimization, Georgia Institute of Technology, 1999-2004.

Customer reviews

5.0 out of 5 stars
5 out of 5
2 global ratings
5 star
100%
4 star 0% (0%) 0%
3 star 0% (0%) 0%
2 star 0% (0%) 0%
1 star 0% (0%) 0%
How are ratings calculated?

Top reviews from the United States

Reviewed in the United States on October 7, 2021
Verified Purchase
One person found this helpful
Report abuse
Reviewed in the United States on October 11, 2021
One person found this helpful
Report abuse