000 02242 a2200229 4500
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020 _a9780262046305
041 _aEnglish
082 _a005.13 C67, 4
100 _aCormen, Thomas H
_eAuthor
_9175
100 _aStein, Clifford
_eAuthor
_9179
245 _aIntroduction to algorithms
250 _a4th ed.
260 _aLondon:
_b MIT Press,
_c2022.
300 _axx, 1289p.;23cms.
500 _aA 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, with new chapters on matchings in bipartite graphs, online algorithms, and machine learning, and new material on such topics as solving recurrence equations, hash tables, potential functions, and suffix arrays. Each chapter is relatively self-contained, presenting an algorithm, a design technique, an application area, or a related topic, and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The fourth edition has 140 new exercises and 22 new problems, and color has been added to improve visual presentations. The writing has been revised throughout, and made clearer, more personal, and gender neutral. The book's website offers supplemental material.
650 _aComputer programming
_9190
650 _aComputer algorithms
_9123
650 _aData structures
_93766
942 _cBK
999 _c1492
_d1492