Introduction to Theory of Computation by Wikiversity
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Introduction to Theory of Computation by Wikiversity
Introduction to Theory of Computation by Wikiversity
This note
describes the following topics: Finite State Machines, Closure and
Nondeterminism, The Pumping Lemma, Minimizing FSMs, Context Free Languages,
CFLs and compilers, Recitation, Pushdown Machines, CFGs and NPDMs, CYK
algorithm, Undecidability and CFLs, Turing Machines, Halting Problem,
Decidability, Complexity Theory, Quantified Boolean Formula, Savitch's
Theorem, Space Hierarchy, Recursion Theorem.
This note exlains the following topics: foundational concepts
like strings and DFAs, then progresses to regular expressions, nondeterministic
automata, and formal language theory, Advanced topics include Turing machines,
decidability, and language-related problems it offers a comprehensive look at
formal languages, automata, and computability.
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 course is an introduction to
the Theory of Computation. Topics covered includes: Background Mathematics,
Models of Computation, Context-Free Grammars, Automata, The Chomsky
Hierarchy.
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 course note provides a challenging introduction to some of the
central ideas of theoretical computer science. It attempts to present a vision
of computer science beyond computers: that is, CS as a set of mathematical
tools for understanding complex systems such as universes and minds.
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 is an executable course note
implemented in Pidgin ML, which is a core subset of the Objective Caml
programming language under the so-called revised syntax.
This book introduces the basic concepts from computational number theory
and algebra, including all the necessary mathematical background. Covered topics
are: Basic properties of the integers, Congruences, Computing with large
integers, Euclid’s algorithm, The distribution of primes, Abelian groups, Rings,
Finite and discrete probability distributions, Probabilistic algorithms,
Probabilistic primality testing, Finding generators and discrete logarithms in
Zp, Quadratic reciprocity and computing modular square roots, Modules and vector
spaces, Matrices, Subexponential-time discrete logarithms and factoring,
Polynomial arithmetic and applications.