This new version of the best-selling book, Algorithms, SecondEdition, provides a comprehensive collection of algorithmsimplemented in C. A variety of algorithms are described in eachofthe following areas: sorting, searching, string-processing,geometric, graph, and mathematical algorithms. These algorithmsare expressed in terms of concise implementations in C, so thatreaders can...(展开全部)

Graph algorithms are critical for a wide range of applications, including network connectivity, circuit design, scheduling, transaction processing, and resource allocation. The latest in Robert Sedgewick's classic series on algorithms, this is the field's definitive guide to graph algorithms for C++. Far more than a "revision," this is a thorough rewriting, five times as long a...(展开全部)

"This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of.." - Steve Summit, author of C Programming FAQs Sedgewick 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) ch...(展开全部)

This book offers robust solutions for everyday programming tasks, providing all the necessary information to understand and use common programming techniques. It includes implementations and real-world examples of each data structure in the text and full source code on the accompanying website (http://examples.oreilly.com/masteralgoc/). Intended for anyone with a basic understa...(展开全部)

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 Algor...(展开全部)

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java in...(展开全部)

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. * The book deals with some of the most important and challenging areas of programming and c...(展开全部)

* This newest edition examines fundamental data structures by following a consistent object-oriented framework that builds intuition and analysis skills of data structures and algorithms * Presents new figures, simpler language, and more practical motivations from real-world scenarios * Numerous illustrations, Web-based animations, and simplified mathematical analyses help read...(展开全部)