The Algorithm Design Manual
著者
書誌事項
The Algorithm Design Manual
Springer London, c2010
2nd ed
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographycal references (p. [665]-707) and index
内容説明・目次
内容説明
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography.
NEW to the second edition:
* Doubles the tutorial material and exercises over the first edition
* Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video
* Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them
* Includes several NEW "war stories" relating experiences from real-world applications
* Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java
目次
Practical Algorithm Design.- to Algorithm Design.- Algorithm Analysis.- Data Structures.- Sorting and Searching.- Graph Traversal.- Weighted Graph Algorithms.- Combinatorial Search and Heuristic Methods.- Dynamic Programming.- Intractable Problems and Approximation Algorithms.- How to Design Algorithms.- The Hitchhiker's Guide to Algorithms.- A Catalog of Algorithmic Problems.- Data Structures.- Numerical Problems.- Combinatorial Problems.- Graph Problems: Polynomial-Time.- Graph Problems: Hard Problems.- Computational Geometry.- Set and String Problems.- Algorithmic Resources.
「Nielsen BookData」 より