Introduction to Algorithms, fourth edition. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Introduction-to-Algorithms-fourth.pdf
ISBN: 9780262046305 | 1312 pages | 22 Mb
- Introduction to Algorithms, fourth edition
- Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
- Page: 1312
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780262046305
- Publisher: MIT Press
Download ebooks to ipad free Introduction to Algorithms, fourth edition (English literature) iBook PDB FB2
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms 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, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition • New chapters on matchings in bipartite graphs, online algorithms, and machine learning • New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays • 140 new exercises and 22 new problems • Reader feedback–informed improvements to old problems • Clearer, more personal, and gender-neutral writing style • Color added to improve visual presentation • Notes, bibliography, and index updated to reflect developments in the field • Website with new supplementary material
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Introduction to Algorithms, fourth edition. Thomas H. Cormen; Charles E. Leiserson; Ronald L. Rivest; Clifford Stein. EISBN13: 9780262367509.
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He is the coauthor of the landmark introductory book, Algorithms, Fourth Edition. Professor Sedgewick earned his Ph.D from Stanford University under Donald
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Description. A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, Publisher: The MIT PressPublication Date: April 5th, 2022
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