logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Algorithms 1st Edition Umesh Vazirani Christos H Papadimitriou

  • SKU: BELL-57631000
Algorithms 1st Edition Umesh Vazirani Christos H Papadimitriou
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Algorithms 1st Edition Umesh Vazirani Christos H Papadimitriou instant download after payment.

Publisher: McGraw-Hill Education
File Extension: PDF
File size: 1.94 MB
Pages: 318
Author: Umesh Vazirani, Christos H. Papadimitriou, Sanjoy Dasgupta
ISBN: 9780073523408, 0073523402
Language: English
Year: 2006
Edition: 1

Product desciption

Algorithms 1st Edition Umesh Vazirani Christos H Papadimitriou by Umesh Vazirani, Christos H. Papadimitriou, Sanjoy Dasgupta 9780073523408, 0073523402 instant download after payment.

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated. Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence. An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center. "Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read." Tim Roughgarden Stanford University

Related Products