{"product_id":"introduction-to-algorithms-4th-edition","title":"Introduction to Algorithms 4th Edition by Cormen, Leiserson, Rivest \u0026 Stein (2022)","description":"\u003cp\u003e\u003cstrong\u003eIntroduction to Algorithms, 4th Edition (2022)\u003c\/strong\u003e by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein — commonly known as \u003cem\u003eCLRS\u003c\/em\u003e — is the definitive textbook on algorithms, with \u003cstrong\u003eover 1 million copies sold worldwide\u003c\/strong\u003e and an Amazon #1 Bestseller in Computer Algorithms. Published by The MIT Press, this landmark reference has been the standard algorithms text in universities worldwide and the go-to reference for software engineers and computer scientists for more than three decades.\u003c\/p\u003e\u003cp\u003eSome books on algorithms are rigorous but incomplete; others cover enormous amounts of material but lack rigor. \u003cem\u003eIntroduction to Algorithms\u003c\/em\u003e uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to readers at every level, with self-contained chapters and algorithms presented in clear pseudocode.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNew for the fourth edition:\u003c\/strong\u003e 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; and refreshed treatment of dynamic programming and graph algorithms.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTopics covered in depth:\u003c\/strong\u003e the role of algorithms in computing; analyzing algorithms and asymptotic notation; divide-and-conquer; probabilistic analysis and randomized algorithms; sorting and order statistics including heapsort, quicksort, and linear-time sorting; hash tables; binary search trees, red-black trees, augmented data structures; dynamic programming; greedy algorithms; amortized analysis; elementary graph algorithms; minimum spanning trees; single-source and all-pairs shortest paths; maximum flow; matchings in bipartite graphs; multithreaded algorithms; online algorithms; machine learning; matrix operations; linear programming; number-theoretic algorithms; string matching; computational geometry; NP-completeness and approximation algorithms.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEssential for:\u003c\/strong\u003e undergraduate and graduate computer science algorithms courses; competitive programming preparation (ACM-ICPC, Codeforces, LeetCode); software engineering interview preparation at top tech companies (Google, Meta, Amazon, Microsoft, Apple); theoretical computer science research; data structures and algorithms bootcamps; and practicing software engineers seeking authoritative coverage of classical and modern algorithms.\u003c\/p\u003e","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":57401404883327,"sku":null,"price":19.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0984\/4241\/2415\/files\/Untitleddesign_ec00d038-2c2c-4a70-ba6e-1ad9ee137d5a.jpg?v=1777041777","url":"https:\/\/www.sandpiperbook.com\/products\/introduction-to-algorithms-4th-edition","provider":"Sandpiper Books","version":"1.0","type":"link"}