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Nguyen H. App. of Continuous Math to Computer Science 1997
Type:
Other > E-books
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1
Size:
34.18 MB

Texted language(s):
English
Tag(s):
Applications Mathematics Computer Science

Uploaded:
Sep 20, 2019
By:
andryold1



Textbook in PDF format

This volume is intended to be used as a textbook for a special topic course in computer science. It addresses contemporary research topics of interest such as intelligent control, genetic algorithms, neural networks, optimization techniques, expert systems, fractals, and computer vision. The work incorporates many new research ideas, and focuses on the role of continuous mathematics.
Audience: This book will be valuable to graduate students interested in theoretical computer topics, algorithms, expert systems, neural networks, and software engineering.
Contents :
Front Matter 
Algorithm Complexity: Two Simple Examples 
Solving General Linear Functional Equations: an Application to Algorithm Complexity 
Program Testing: A Problem 
Optimal Program Testing 
Optimal Choice of a Penalty Function: Simplest Case of Algorithm Design 
Solving General Linear Differential Equations with Constant Coefficients: An Application to Constrained Optimization 
Simulated Annealing: “Smooth” (Local) Discrete Optimization 
Genetic Algorithms:“Non-Smooth” Discrete Optimization 
RISC Computer Architecture and Internet Growth: Two Applications of Extrapolation 
Systems of Differential Equations and Their Use in Computer-Related Extrapolation Problems 
Network Congestion: An Example of Non-Linear Extrapolation 
Neural Networks: A General form of Non-Linear Extrapolation 
Expert Systems and the Basics of Fuzzy Logic 
Intelligent and Fuzzy Control 
Randomness, Chaos, and Fractals 
Back Matter