Introduction to Theoretical Computer Science or Theory of Computation
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Introduction to Theoretical Computer Science or Theory of Computation
Introduction to Theoretical Computer Science or Theory of Computation
This note covers the following
topics: introduction to theoretical computer science, language, regular
language, finite automata, language accepted by dfa, nondeterministic finite
automata, equivalence of nfa, regular language and fa, application of fa,
nonregular languages, context free languages, turing machines, computability
and complexity.
Author(s): Pavan
Kumar Anumula, Andrea Di Fabio and Jia Zhu
This pdf begins with an overview of resources, organization and
motivation and preview of CS theory covering the Limits of Computation, the
Undecidability of the Halting Problem.The Automata and Machines including
Deterministic and Nondeterministic Finite-state Automata, Pushdown Automata, and
Turing Machines and Language Classes. Finally focus shifts to Computational
Complexity, discussing NP-Completeness, Approximation Algorithms, and the
Hardness of Approximation.
This PDF covers the
following topics related to Theory of Computation : Mechanical Computation,
Background, Languages and graphs, Automata, Computational Complexity.
This PDF Models of Computation by John E. Savage covers the following
topics related to Computation Theory : The Role of Theory in Computer Science,
General Computational Models, Logic Circuits, Machines with Memory, Finite-State
Machines and Pushdown Automata, Computability, Algebraic and Combinatorial
Circuits, Parallel Computation, Computational Complexity, Complexity Classes,
Circuit Complexity, Space–Time Tradeoffs, Memory-Hierarchy Tradeoffs, VLSI
Models of Computation.
This note
explains the theoretical computer science areas of formal languages and
automata, computability and complexity. Topics covered include: regular and
context-free languages, finite automata and pushdown automata, Turing
machines, Church's thesis, computability - halting problem, solvable and
unsolvable problems, space and time complexity, classes P, NP and PSPACE, NP-Completenes.
Author(s): The Australian National University, Canberra
This note covers the following topics: Sets,
functions and other preliminaries, Formal Languages, Finite Automata ,
Regular Expressions, Turing Machines, Context-Free Languages, Rice's Theorem,
Time complexity, NP-Completeness, Space Complexity , Log Space, Oracle
machines and Turing Reducibility, Probabilistic Complexity, Approximation and
Optimisation, Complexity Hierarchy Theorems.
This note explains the following topics: Symbols, strings and
languages, Finite automata, Regular expressions and languages, Markov models,
Context free languages, Language recognizers and generators, The Chomsky
hierarchy, Turing machines, Computability and actability, Computational
complexity.
This note
covers the following topics: Automata, Set Theory, The Natural numbers and
Induction, Foundations of Language Theory, Operations on Languages,
Deterministic Finite Automata, Formal Languages, Computability, Computations
of Turing Machines, The Primitive Recursive Functions, The Partial Recursive
Functions, DNA Computing, Analog Computing and Scientific Computing.
This is a free textbook for an undergraduate course
on the Theory of Computation, which have been teaching at Carleton University
since 2002.Topics covered includes: Finite Automata and Regular Languages,
Context-Free Languages, Turing Machines and the Church-Turing Thesis,
Decidable and Undecidable Languages and Complexity Theory.
This book covers the
following topics: The RAM Model, The Primitive Recursive Functions, The
Partial Recursive Functions, Coding and Godelization, The Hierarchy of
Primitive Recursive Functions, Universality and Parametrisation, The type-free
lambda calculus.
This note covers the following topics: A brief history of
computing, Fundamentals, Formal languages and machine models, Computability
and undecidability, NP-completeness, Generalized number systems and
Cryptography mental poker.