Algorithms Sequential & Parallel: A Unified Approach, 2/e (Hardcover)
暫譯: 序列與並行演算法:統一方法,第2版 (精裝本)
Laurence Boxer, Russ Miller
- 出版商: Charles River Media
- 出版日期: 2005-08-03
- 售價: $1,488
- 語言: 英文
- 頁數: 1
- 裝訂: Hardcover
- ISBN: 1584504129
- ISBN-13: 9781584504122
-
相關分類:
Algorithms-data-structures
已過版
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商品描述
Description
With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms Sequential and Parallel: A Unified Approach 2/E provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.
KEY FEATURES
- Discusses practical applications of algorithms (e.g., efficient methods to solve critical problems in computational geometry, image processing, graph theory, and scientific computing)
- Provides information updated from the previous edition, including discussions of coarse-grained parallel computing
- Mathematical tools are developed in the early chapters
- Includes exercises at the end of each chapter that vary in difficulty, from confidence-building problems to research-oriented problems
商品描述(中文翻譯)
**描述**
隨著多核心處理器取代傳統處理器,以及多處理器工作站和伺服器的興起,平行計算已經從一個專業領域轉變為計算機科學的核心。為了提供高效且具成本效益的解決方案,必須為多處理器系統設計演算法。《演算法:序列與平行的統一方法(第二版)》提供了一種最先進的演算法課程方法。本書以統一的方式考慮演算法、範式以及對序列和平行計算模型中關鍵問題解決方案的分析。這使得實務工程師、科學家、以及本科生和初學研究生能夠在一本書中獲得序列和平行演算法的背景知識。先修課程包括資料結構基礎、離散數學和微積分。
**主要特點**
- 討論演算法的實際應用(例如,解決計算幾何、影像處理、圖論和科學計算中的關鍵問題的高效方法)
- 提供從前一版更新的資訊,包括對粗粒度平行計算的討論
- 在早期章節中發展數學工具
- 每章末尾包含不同難度的練習題,從增強信心的問題到研究導向的問題
