Algorithms in C, Part 5: Graph Algorithms,3rd edition
Robert Sedgewick
Sold by Basi6 International, Irving, TX, U.S.A.
AbeBooks Seller since June 24, 2016
New - Soft cover
Condition: Brand New
Quantity: 4 available
Add to basketSold by Basi6 International, Irving, TX, U.S.A.
AbeBooks Seller since June 24, 2016
Condition: Brand New
Quantity: 4 available
Add to basketNew. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Software developers and computer scientists have eagerly awaited this comprehensive revision of Robert Sedgewick's landmark texts on algorithms. Sedgewick has completely revamped all five sections, illuminating today's best algorithms for an exceptionally wide range of tasks. This shrink-wrapped package brings together Algorithms in C, Third Edition, Parts 1-4 and his new Algorithms in C, Third Edition, Part 5. Together, these books are definitive: the most up-to-date and practical algorithms resource available. Sedgewick masterfully blends theory and practice, making Bundle of Algorithms in C, Third Edition an essential resource for computer science researchers, students, and working developers alike. The first book introduces fundamental concepts associated with algorithms; then covers data structures, sorting, and searching. The second book focuses entirely on graphing algorithms, which are critical for a wide range of applications, including network connectivity, circuit design, scheduling, transaction processing, and resource allocation. Together, these books present nearly 2,000 new exercises, hundreds of new figures, and dozens of new programs. In both books, Sedgewick focuses on practical applications, giving readers all the information, diagrams, and real (not pseudo-) code they need to confidently implement, debug, and use the algorithms he presents.
Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton University. He is a Director of Adobe Systems and has served on the research staffs at Xerox PARC, IDA, and INRIA. He earned his Ph.D from Stanford University under Donald E. Knuth.
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