Handbook of Data Structures and Applications, Second Edition (Chapman & Hall/CRC Computer and Information Science Series)
暫譯: 數據結構與應用手冊(第二版)(Chapman & Hall/CRC計算機與信息科學系列)
- 出版商: Chapman and Hall/CRC
- 出版日期: 2018-03-07
- 售價: $11,080
- 貴賓價: 9.5 折 $10,526
- 語言: 英文
- 頁數: 1120
- 裝訂: Hardcover
- ISBN: 149870185X
- ISBN-13: 9781498701853
-
相關分類:
Algorithms-data-structures
下單後立即進貨 (約2~4週)
買這商品的人也買了...
商品描述
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances.
Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures.
Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition.
The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
商品描述(中文翻譯)
《資料結構與應用手冊》首次出版於十多年前。這第二版旨在更新第一版,重點關注在資料結構研究領域中取得顯著進展的部分。儘管資料結構這一學科的成熟速度不如計算機科學的其他領域,但本書旨在更新那些已經取得進展的領域。
本手冊保留了第一版的七部分結構,首先回顧了入門材料,接著討論了幾個知名的資料結構類別,包括優先佇列(Priority Queues)、字典結構(Dictionary Structures)和多維結構(Multidimensional structures)。編輯們接著分析了各種雜項資料結構,這些結構是知名但難以輕易分類的。然後,本書探討了為了促進在實際程式中使用資料結構而開發的機制和工具。最後,書中檢視了資料結構的應用。
新增了四個章節,分別是布隆過濾器(Bloom Filters)、二元決策圖(Binary Decision Diagrams)、化學資訊學的資料結構(Data Structures for Cheminformatics)以及大數據存儲的資料結構(Data Structures for Big Data Stores),並對第一版中出現的其他章節進行了更新。
本手冊對於提出資料結構研究的新想法以及揭示其應用背景具有無價的價值。設計演算法的實務工作者將獲得有關組織資料的見解,使他們能夠更有效地解決演算法問題。