Understand Mathematics, Understand Computing: Discrete Mathematics That All Computing Students Should Know
暫譯: 理解數學，理解計算：所有計算學生應該知道的離散數學

Rosenberg, Arnold L., Trystram, Denis

Understand Mathematics, Understand Computing: Discrete Mathematics That All Computing Students Should Know
  • 出版商: Springer
  • 出版日期: 2020-12-06
  • 售價: $4,130
  • 貴賓價: 9.5 折 $3,924
  • 語言: 英文
  • 頁數: 550
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030583759
  • ISBN-13: 9783030583750

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing. They want the reader to understand the elements of computing, rather than just know them. The basic topics are presented in a way that encourages readers to develop their personal way of thinking about mathematics. Many topics are developed at several levels, in a single voice, with sample applications from within the world of computing. Extensive historical and cultural asides emphasize the human side of mathematics and mathematicians.
By means of lessons and exercises on "doing" mathematics, the book prepares interested readers to develop new concepts and invent new techniques and technologies that will enhance all aspects of computing. The book will be of value to students, scientists, and engineers engaged in the design and use of computing systems, and to scholars and practitioners beyond these technical fields who want to learn and apply novel computational ideas.

商品描述(中文翻譯)

在本書中，作者旨在賦予讀者對離散數學的操作性、概念性和方法論的理解，這些數學可以用來研究、理解和執行計算。他們希望讀者能理解計算的元素，而不僅僅是知道它們。基本主題以鼓勵讀者發展個人數學思維的方式呈現。許多主題在多個層次上發展，以單一的聲音，並提供來自計算世界的範例應用。廣泛的歷史和文化插曲強調了數學及數學家的人的一面。

通過關於「做」數學的課程和練習，本書為有興趣的讀者準備了發展新概念和發明新技術及技術的基礎，這將增強計算的各個方面。本書對於從事計算系統設計和使用的學生、科學家和工程師，以及希望學習和應用新穎計算思想的學者和專業人士都具有價值。

作者簡介

Prof. Arnold Rosenberg is a distinguished university professor emeritus at the University of Massachusetts, Amherst. He also held research positions at Northeastern University and Colorado State University, a professorship at Duke University, and a staff research position at IBM Watson Research Center. He was elected a fellow of the ACM in 1996 for his work on graph-theoretic models of compuation, emphasizing theoretical studies of parallel algorithms and architectures, VLSI design and layout, and data structures. In 1997, he was elected as a fellow of the IEEE for fundamental contributions to theoretical aspects of computer science and engineering.

Prof. Denis Trystram is a distinguished professor at the Grenoble Institute of Engineering, an honorary member of the Institut Universitaire de France (IUF), and he works at the Laboratoire d'Informatique de Grenoble (LIG) in the team-project DataMove-INRIA. His research interestst include the design and analysis of efficient algorithms for optimizing resource use in parallel and distributed systems, approximation algorithms for scheduling and packing problems, and algorithms for data analytics. Both authors have considerable teaching and practical experience in the application of discrete mathematics approaches to computing tasks.

作者簡介(中文翻譯)

教授阿諾德·羅森伯格是麻省大學阿默斯特分校的傑出名譽教授。他曾在東北大學和科羅拉多州立大學擔任研究職位，並在杜克大學擔任教授，以及在IBM沃森研究中心擔任研究員。他於1996年因其在計算圖論模型方面的工作而被選為ACM會士，強調平行演算法和架構、VLSI設計與佈局以及資料結構的理論研究。1997年，他因對計算機科學和工程理論方面的基本貢獻而被選為IEEE會士。

教授丹尼斯·特里斯特拉姆是格勒諾布爾工程學院的傑出教授，也是法國大學院（IUF）的名譽成員，他在格勒諾布爾計算機實驗室（LIG）工作，參與DataMove-INRIA團隊專案。他的研究興趣包括設計和分析高效演算法，以優化平行和分散系統中的資源使用，針對排程和打包問題的近似演算法，以及數據分析的演算法。兩位作者在將離散數學方法應用於計算任務方面擁有相當的教學和實踐經驗。

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