Advanced Theory in Computation
This is an advanced set of notes on the analysis of algorithms and their complexity. Of interest in these notes are the topics on string matching algorithms, such as Knuth-Morris-Pratt and Boyer-Moore. Suffix trees and dictionary techniques are also part of the discussion here. Among the methods to be shown in a way of analyzing algorithm efficiency are amortized analysis and randomized algorithms. It also treats the pairing technique, Ziv-Lempel coding; further topics on statistical adversaries, portfolio selection, and reservation-price policies that are objects of other techniques discussed herein.
Author(s): Seoul National University
NA Pages 
Theory of Computation by Frank Stephan
This note explains the following topics, sets and regular expressions, Grammars and the chomsky hierarchy, Finite automata, Nondeterministic finite automata, Combining languages, Normal forms and algorithms, Deterministic membership testing, Nondeterministic membership testing, Models of computation, Complexity considerations, Undecidable problems, Undecidability and formal languages.
Author(s): Frank Stephan
176 Pages
Lecture Notes of Introduction to the Theory of Computation
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 languagerelated problems it offers a comprehensive look at formal languages, automata, and computability.
Author(s): Margaret Fleck and Sariel Har Peled
345 Pages
Models of Computation by John E Savage
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, FiniteState Machines and Pushdown Automata, Computability, Algebraic and Combinatorial Circuits, Parallel Computation, Computational Complexity, Complexity Classes, Circuit Complexity, SpaceTime Tradeoffs, MemoryHierarchy Tradeoffs, VLSI Models of Computation.
Author(s): John E. Savage, Brown University
698 Pages
Lecture Notes Theory of Computation
This lecture note from S R Engineering College offers a detailed introduction to key concepts in the Theory of Computation. It begins with Properties of Binary Operations, exploring fundamental mathematical operations and their essential properties like associativity and commutativity. The section on Concatenation Properties covers how strings can be joined and the characteristics of such operations, including associativity and the identity element. Finite Automata are thoroughly discussed, explaining both deterministic and nondeterministic NFA models, and their role in recognizing regular languages. The notes also cover Formal Languages, categorizing them into regular, contextfree, contextsensitive, and recursively enumerable types based on complexity. Finally, the Pumping Lemma is introduced as a critical tool for proving the nonregularity and noncontextfreeness of languages by demonstrating how strings in these languages can be decomposed and manipulated.
Author(s): S R Engineering College
155 Pages
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, Savitchs Theorem, Space Hierarchy, Recursion Theorem.
Author(s): Wikiversity
NA Pages
Theory of Computation Tutorials
This set of tutorials goes into the heart of the theory of computer science with formal languages and automatons, computability, and complexity. Topics to be discussed are regular and contextfree languages, finite automata, and pushdown automata. Consequently, resulting tutorials treat topics like Turing machines, Churchs thesis, and the problem of undecidability, whose examples include the and quot,halting problem and quot, in the exploration of the limits of computability. They look into complexity classes such as P, NP, and PSPACE, look into NPcompleteness, or provide an indepth treatment along with a wide introduction to the theoretical foundations of computer science.
Author(s): The Australian National University, Canberra
NA Pages
