Sedgewick's landmark works on computer algorithms -- thoroughly revised, and bundled at an exceptional price!
Today's most efficient algorithms for sorting, searching, graphing, and data structures.
New edition- completely rewritten- nearly 2,000 new exercises, hundreds of new figures, and dozens of new programs!
Bridges
the gap between theory and practice with carefully chosen examples,
detailed figures, and complete implementations. 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 Professor of Computer Science at Princeton. He received
his Ph.D. from Stanford University under Donald E. Knuth. Sedgewick is
a Director of Adobe Systems, and has served on the research staffs of
Xerox, PARC, the Institute for Defense Analysis, and INRIA. He is
co-author of An Introduction to the Analysis of Algorithms.