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Introduction to Algorithms is a book on computer programming by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein.The book is described by its publisher as "the leading algorithms text in universities worldwide as well as the standard reference for professionals". [1]
Thomas H. Cormen [1] is an American politician and retired academic. He is the co-author of Introduction to Algorithms , along with Charles Leiserson , Ron Rivest , and Cliff Stein . In 2013, he published a new book titled Algorithms Unlocked .
Starting with an introduction chapter, each of the 15 remaining ones formulates a real application problem, formulates an underlying geometrical problem, and discusses techniques of computational geometry useful for its solution, with algorithms provided in pseudocode. The book treats mostly 2- and 3-dimensional geometry.
Algorithms Unlocked is a book by Thomas H. Cormen about the basic principles and applications of computer algorithms. [1] The book consists of ten chapters, and deals with the topics of searching, sorting, basic graph algorithms, string processing, the fundamentals of cryptography and data compression, and an introduction to the theory of computation.
Graph Theory with Applications to Engineering and Computer Science (PDF). Englewood, New Jersey: Prentice-Hall. ISBN 0-13-363473-6. Archived (PDF) from the original on 2019-05-17. Gibbons, Alan (1985). Algorithmic Graph Theory. Cambridge University Press. Golumbic, Martin (1980). Algorithmic Graph Theory and Perfect Graphs. Academic Press.
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms, Second Edition. MIT Press and McGraw–Hill, 2001. ISBN 0-262-03293-7. Sections 4.3 (The master method) and 4.4 (Proof of the master theorem), pp. 73–90. Michael T. Goodrich and Roberto Tamassia.
Edition number: 1, 2, 3, or 4. Controls display of edition number, ISBN, and fourth author. May also be passed as the first unnamed parameter. Auto value 4: Number: suggested: notitlelink: notitlelink: If value is non-empty, do not link the title to the Wikipedia article about the book. Example y: Unknown: optional: pages: pages: Passed through ...
The name "divide and conquer" is sometimes applied to algorithms that reduce each problem to only one sub-problem, such as the binary search algorithm for finding a record in a sorted list (or its analogue in numerical computing, the bisection algorithm for root finding). [2] These algorithms can be implemented more efficiently than general ...