Introduction to Algorithms

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

★ 5.0 · 573 reads

<span>A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.</span><span><br><br>Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. </span><span>Introduction to Algorithms</span><span> uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, </span><span>Introduction to Algorithms</span><span> has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.<br> <br>New for the fourth edition  <br>  </span><span>•</span><span>  New chapters on matchings in bipartite graphs, online algorithms, and machine learning<br>  </span><span>•</span><span>  New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays<br>  </span><span>•</span><span>  140 new exercises and 22 new problems<br>  </span><span>•</span><span>  Reader feedback–informed improvements to old problems<br>  </span><span>•</span><span>  Clearer, more personal, and gender-neutral writing style<br>  </span><span>•</span><span>  Color added to improve visual presentation<br>  </span><span>•</span><span>  Notes, bibliography, and index updated to reflect developments in the field<br>  </span><span>•</span><span>  Website with new supplementary material<br><br> <br> <br><br><br> </span>

Request Code
ZLIBIO3249063
Published
2022
Publisher
The MIT Press
Pages
1,312
Language
English
Format
EPUB
Edition
4
ISBN-13
9780262046305
ISBN-10
026204630X