Introduction to the Theory of Computing
Introduction to the Theory of Computing is a course that undertakes an intensive study of the underpinnings of the theory of computation. Beginning with mathematical foundations, the course moves into regular operations and expressions, and then into proofs on languages being nonregular and other further treatments on regular languages. Other important topics include parse trees, ambiguity, Chomsky normal form, pushdown automata, and Turing machines. Further, the PDF discusses various types of Turing machines, the stack machine model, and undecidable languages, making it a great starting point in the topic of computability.
Author(s): University of Waterloo
227 Pages 
Theory of Computation by Frank Stephan
Frank Stephan's detailed lecture notes on the theory of computation cover quite a wide spectrum of issues. The document starts with the basics of sets and regular expressions, then goes ahead to grammars and the Chomsky hierarchy, helping one in understanding the structure of languages. Then it discusses finite automaton and nondeterministic finite automata, giving all details about the processing of strings by these models. The notes also treat the composition of languages, normal forms, and algorithms used in computation. Membership testing, whether deterministic or nondeterministic, is also explained, together with the proof of how models of computation handle language recognition. Finally, the approach is important when considering complexity, the problems that turn out undecidable, showing thus the intrinsic limits of computation. This is an important resource concerning formal languages, automata theory, and basic bounds of computability.
Author(s): Frank Stephan
176 Pages
Introduction to the Theory of Computing
Introduction to the Theory of Computing is a course that undertakes an intensive study of the underpinnings of the theory of computation. Beginning with mathematical foundations, the course moves into regular operations and expressions, and then into proofs on languages being nonregular and other further treatments on regular languages. Other important topics include parse trees, ambiguity, Chomsky normal form, pushdown automata, and Turing machines. Further, the PDF discusses various types of Turing machines, the stack machine model, and undecidable languages, making it a great starting point in the topic of computability.
Author(s): University of Waterloo
227 Pages
Theory of Computation by Kyle Burke
This book surveys some of the most relevant theoretical concepts with computational models. The limits of computation, undecidability of the Halting Problem, several automata models, including both deterministic and nondeterministic finite-state automata, pushdown automata, and Turing machines, are introduced. The ending is dedicated to computational complexity, with NP-Completeness, approximation algorithms, and hardness of approximation.
Author(s): Kyle Burke
114 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, context-free, context-sensitive, and recursively enumerable types based on complexity. Finally, the Pumping Lemma is introduced as a critical tool for proving the non-regularity and non-context-freeness 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 Lecture Notes
These lecture notes give an introduction to the more fundamental parts of the theory of computation and begin by presenting finite automata: starting with deterministic and nondeterministic finite automata, their equivalence, and practical implications of these concepts. The lecture notes include sections on regular expressions and their relationship to finite automata, non-regular languages, and the Pumping Lemma to prove non-regularity. Myhill-Nerode Theorem: For understanding recognition of languages. The notes go further to present context-free languages, including their ambiguity and properties of closure. The pumping lemma for context-free languages is also discussed, while decidable and recognizable languages are informed by a deep underpinning in computational theory.
Author(s): Mahesh Viswanathan
NA Pages
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
