This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning under uncertainty, sensor-based planning, visibility, decision-theoretic planni...(展开全部)

This new edition of Kevin Lynch's widely used introductory textbook has been completely revised; and is also enriched by the experience of Lynch's coauthor, Gary Hack. For over two decades, Site Planning has remained the only comprehensive source of information on all the principal - activities and concerns of arranging the outdoor physical environment. Now, new illustrations d...(展开全部)

This new edition of Kevin Lynch's widely used introductory textbook has been completely revised; and is also enriched by the experience of Lynch's coauthor, Gary Hack. For over two decades, Site Planning has remained the only comprehensive source of information on all the principal - activities and concerns of arranging the outdoor physical environment. Now, new illustrations d...(展开全部)

Essential Information about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick,s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms e...(展开全部)

Robert Sedgewick 斯坦福大学博士（导师是Donald E. Knuth），从1985年开始一直担任普林斯顿大学计算机科学系教授，曾任该系主任，也是Adobe Systems公司董事会成员，曾在Xerox PARC、国防分析研究所（Institute for Defense Analyses）和法国国家信息与自动化研究所（INRIA）从事研究工作。他的研究方向包括解析组合学、数据结构和算法的分析与设计、程序可视化等。 Kevin Wayne 康奈尔大学博士，普林斯顿大学计算机科学系高级讲师。研究方向包括算法的设计、分析和实现，特别是图和离散优化。

An accessible introduction to algorithms, explaining not just what they are but how they work, with examples from a wide range of application areas. Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that eve...(展开全部)

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal.

Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This textbook is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The boo...(展开全部)

Robert Sedgewick 斯坦福大学博士（导师是Donald E. Knuth），从1985年开始一直担任普林斯顿大学计算机科学系教授，曾任该系主任，也是Adobe Systems公司董事会成员，曾在Xerox PARC、国防分析研究所（Institute for Defense Analyses）和法国国家信息与自动化研究所（INRIA）从事研究工作。他的研究方向包括解析组合学、数据结构和算法的分析与设计、程序可视化等。 Kevin Wayne 康奈尔大学博士，普林斯顿大学计算机科学系高级讲师。研究方向包括算法的设计、分析和实现，特别是图和离散优化。

Essential Information about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick,s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms e...(展开全部)