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《计算机网络的数学基础》(Mathematical Foundations of Computer Networking)英文文字版/EPUB[PDF]

  • 状态: 精华资源
  • 摘要:
    图书分类网络
    出版社Addison-Wesley Professional
    发行时间2012年4月25日
    语言英文
  • 时间: 2012/08/04 13:31:11 发布 | 2012/08/04 13:31:14 更新
  • 分类: 图书  计算机与网络 

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中文名计算机网络的数学基础
原名Mathematical Foundations of Computer Networking
图书分类网络
资源格式PDF
版本英文文字版/EPUB
出版社Addison-Wesley Professional
书号978-0321792105
发行时间2012年4月25日
地区美国
语言英文
简介

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内容介绍:

The Essential Mathematical Principles Required to Design, Implement, or Evaluate Advanced Computer Networks

Students, researchers, and professionals in computer networking require a firm conceptual understanding of its foundations. Mathematical Foundations of Computer Networking provides an intuitive yet rigorous introduction to these essential mathematical principles and techniques.

Assuming a basic grasp of calculus, this book offers sufficient detail to serve as the only reference many readers will need. Each concept is described in four ways: intuitively; using appropriate mathematical notation; with a numerical example carefully chosen for its relevance to networking; and with a numerical exercise for the reader.

The first part of the text presents basic concepts, and the second part introduces four theories in a progression that has been designed to gradually deepen readers’ understanding. Within each part, chapters are as self-contained as possible.

The first part covers probability; statistics; linear algebra; optimization; and signals, systems, and transforms. Topics range from Bayesian networks to hypothesis testing, and eigenvalue computation to Fourier transforms.

These preliminary chapters establish a basis for the four theories covered in the second part of the book: queueing theory, game theory, control theory, and information theory. The second part also demonstrates how mathematical concepts can be applied to issues such as contention for limited resources, and the optimization of network responsiveness, stability, and throughput.

内容截图:

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目录

Chapter 1 Probability
Chapter 2 Statistics
Chapter 3 Linear Algebra
Chapter 4 Optimization
Chapter 5 Signals, Systems, and Transforms
Chapter 6 Stochastic Processes and Queueing Theory
Chapter 7 Game Theory
Chapter 8 Elements of Control Theory
Chapter 9 Information Theory

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