An introduction to data structures and algorithms
著者
書誌事項
An introduction to data structures and algorithms
Birkhäuser , Springer, c2002
- : Springer
- : Birkhäuser
大学図書館所蔵 全19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 bibliographical references (p. [555]-582) and index
内容説明・目次
内容説明
Data structures and algorithms are presented at the college level
in a highly accessible format that presents material with one-page
displays in a way that will appeal to both teachers and students. The
thirteen chapters cover: Models of Computation, Lists, Induction and
Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees,
Sets Over a Small Universe, Graphs, Strings, Discrete Fourier
Transform, Parallel Computation.
Key features: Complicated concepts are expressed clearly in a
single page with minimal notation and without the "clutter" of the
syntax of a particular programming language; algorithms are presented
with self-explanatory "pseudo-code." * Chapters 1-4 focus on
elementary concepts, the exposition unfolding at a slower pace. Sample
exercises with solutions are provided. Sections that may be skipped
for an introductory course are starred. Requires only some basic
mathematics background and some computer programming experience. *
Chapters 5-13 progress at a faster pace. The material is suitable for
undergraduates or first-year graduates who need only review Chapters 1
-4. * This book may be used for a one-semester introductory course
(based on Chapters 1-4 and portions of the chapters on algorithm
design, hashing, and graph algorithms) and for a one-semester advanced
course that starts at Chapter 5. A year-long course may be based on
the entire book. * Sorting, often perceived as rather technical, is
not treated as a separate chapter, but is used in many examples
(including bubble sort, merge sort, tree sort, heap sort, quick sort,
and several parallel algorithms). Also, lower bounds on sorting by
comparisons are included with the presentation of heaps in the context
of lower bounds for comparison-based structures. * Chapter 13 on
parallel models of computation is something of a mini-book itself, and
a good way to end a course. Although it is not clear what parallel
目次
Preface * 1. RAM Model * 2. Lists * 3. Induction and Recursion * 4. Trees * 5. Algorithm Design * 6. Hashing * 7. Heaps * 8. Balanced Trees * 9. Sets Over a Small Universe * 10. Graphs * 11. Strings * 12. Discrete Fourier Transform (DFT) * 13. Parallel Computation * Appendix of Common Sums * Bibliography * Notation * Index
「Nielsen BookData」 より