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 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 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.
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 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 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 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.