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