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Abstract

In theoretical computer science and mathematics, the theory of computation is the branch that deals with how efficiently problems can be solved on a model of computation, using an algorithm. The field is divided into three major branches: automata theory and language, computability theory, and computational complexity theory, which are linked by the question: What are the fundamental capabilities and limitations of computers?.

Introduction

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What is ToC?
What can or cannot be computed efficiently with given resources

Can it be computed?- Computability Theory

Can it be computed quickly? Complexity Theory

Computability Theory

Problems
Solvable
Not solvable
Complexity Theory

Computationally Hard Problems

Computationally Easy Problems
Defining ToC
Fundamental ideas & Models on Computing
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Review of Mathematical Terms and Theory Basic mathematical notations and set theory, Logic functions and relations, Language definitions, Mathematical inductions and recursive definitions. Finite Automata Deterministic and non deterministic finite automata, -Transitions, Conversion from NFA to DFA, Kleene's theorem, Regular and non regular languages. CFG (Context Free Grammar) Introduction to CFG, CFG and known languages, Unions concatenations and *'S notations and CFL, Derivations of tr ....etc

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Dual-Link Failure Resiliency Through Backup Link Mutual Exclusion

Abstract
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Digital Control Engineering M. Gopal Recent developments in LSI technology and the consequent availability of inexpensive microprocessors, memory chips and analog-to-digital converters have made it possible to use computers as an integral part of control systems. This book presents a theory of control that is relevant to the analysis and design of computer controlled systems. Among its characteristics, the book:

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Support for Host Anycast, Priorities and Naming of Link Local Addresses in IPv6

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