Algorithms in C, Parts 1-4: Fundamentals, Data Structures, Sorting, Searching (3rd Edition) (Pts. 1-4)
- Steve Summit, author ofC Programming FAQsSedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive.- William A. Ward, University of South AlabamaRobert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers!This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language.HighlightsExpanded coverage of arrays, linked lists, strings, trees,  and other basic data structuresGreater emphasis on abstract data types (ADTs) than in  previous editionsOver 100 algorithms for sorting, selection, priority queue  ADT implementations, and symbol table ADT (searching) implementationsNew implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs,  splay trees, skip lists, multiway tries, and much moreIncreased quantitative information about the algorithms, including extensive empirical studies and basic analytic  studies, giving you a basis for comparing themOver 1000 new exercises to help you learn the properties  of algorithmsWhether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.0201314525B04062001