Computer Science BooksComputation Theory Books

Theory of Computation by S. Arun Kumar

Advertisement

Theory of Computation by S. Arun Kumar

Theory of Computation by S. Arun Kumar

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.

Author(s):

s83 Pages
Similar Books
Introduction to the Theory of Computing

Introduction to the Theory of Computing

This pdf includes overview and mathematical foundations, Regular operations and regular expressions, Proving languages to be nonregular, Further discussion of regular languages, Parse trees, ambiguity, and Chomsky normal form, Pushdown automata, Turing machines, Variants of Turing machines, Stack machines, Universal Turing machines and undecidable languages, Further discussion of computability.

s227 Pages
Theory of Computation by Jim Hefferon

Theory of Computation by Jim Hefferon

This PDF covers the following topics related to Theory of Computation : Mechanical Computation, Background, Languages and graphs, Automata, Computational Complexity.

s439 Pages
Introduction   to Theory of Computation  Lecture Notes

Introduction to Theory of Computation Lecture Notes

This note explains the following topics: Discrete mathematics, Deterministic Finite Automata, Nondeterministic Finite Automata, Equivalence of DFA and NFA, Nondeterministic Finite Auotmata, egular expressions and finite automata, Non-regular languages and Pumping Lemma, Myhill-Nerode Theorem, Context-free languages and Ambiguity, Closure Properties, Pumping Lemma and non-CFLs, Closure Properties and non-CFL Languages, Decidable and Recognizable Languages.

sNA Pages
Theory of Computation   Lectures

Theory of Computation Lectures

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.

sNA Pages
Theory of   Computation  Lecture Notes

Theory of Computation Lecture Notes

This note covers the following topics: Mathematical Perliminaries, Automata Theory, Combinatorics and Graph Theory, DFAs to Regular Expressions- Brzozowski’s Algebraic Method, Myhill-Nerode and DFA Minimization, Group Theory, Turing Machines and Computability Theory, Complexity Theory.

s114 Pages
Notes on   Computation Theory

Notes on Computation Theory

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.

s231 Pages
Notes   on Computational Complexity Theory

Notes on Computational Complexity Theory

This note provides an introduction to the theory of computational complexity. Topics covered includes: Models of computation, Time and space complexity classes, Nonterminism and NP, Diagonalization, Oracles and relativization, Alternation, Space complexity, Natural proofs, Randomized classes, Counting classes, Descriptive complexity and Interactive proofs.

s180 Pages
Theory   Of Computation Lecture Notes

Theory Of Computation Lecture Notes

This lecture note covers the following topics: Theory Of Computation, Introduction To Automata, Finite Automata, Regular Expressions And Languages, Properties Of Regular Language, Context-free Grammars And Languages, Applications Of Context-free Grammars, Pushdown Automata, Properties of Context-Free Languages.

s120 Pages
Great   Ideas in Theoretical Computer Science Lecture Notes

Great Ideas in Theoretical Computer Science Lecture Notes

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.

sNA Pages
A Computational Introduction to Number Theory and Algebra (V. Shoup)

A Computational Introduction to Number Theory and Algebra (V. Shoup)

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.

sNA Pages

Advertisement