Synopses & Reviews
Intended for the computer programmer who wants to understand the mathematical aspects of data communications, this book mixes traditional techniques and novel applications, starting with the basics and gradually introducing newer and more complex topics. It focuses on the practical size of mathematics, using examples that relate to data communications when demonstrating the mathematical concepts. Although numerous mathematical theorems are introduced and their utility is demonstrated, this is primarily an applications-oriented, non-mathematically rigorous work. Wherever possible, the techniques are introduced in a way that makes them extremely useful in future endeavors in computer code.
Description
Includes bibliographical references (p. 173-175) and index.
Table of Contents
PROBABILITY.
Basics.
Random Variables.
Conditional Probability and Independence.
Other Probability Distributions.
Stochastic Processes.
INFORMATION THEORY.
Information Entropy.
Discrete Channel with Noise.
Coding.
GRAPH THEORY AND NETWORK FLOWS.
Fundamentals.
Trees.
Connectedness.
Optimal Paths.
Optimal Flows.
QUEUEING THEORY.
Single Queues.
Queueing Networks.
ADDITIONAL TOPICS.
Finite State Machines.
Advanced Coding Techniques.
Bibliography.
Index.