/  Computer Science Books /  Computation Theory Books / 

Models of Computation by John E. Savage

Models of Computation by John E. Savage

Models of Computation by John E. Savage

This book, written for graduates, covers general subjects on computational models, logic circuits, and memory machines, with advanced subjects being parallel computation, circuit complexity, and space-time trade-offs; therefore, it's a very thorough course on computational models and their complexities.

Author(s):

s698 Pages
Similar Books
Theory of Computation

Theory of Computation

This note contains below topics, Alphabets, strings, languages, and finite automata, Regular sets, regular expressions, and regular grammars, Context free grammars and languages, Pushdown automata, Turing machines and computability.

s158 Pages
Models of Computation

Models of Computation

This note contains below topics, Strings and formal languages, Deterministic and nondeterministic finite automata, Regular expressions, Context free languages, Turing machines, Undecidability.

s155 Pages
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
Lecture Notes   Theory of Computation

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.

s155 Pages
Introduction to Theory of Computation  Lecture Notes

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, nonregular languages, and the Pumping Lemma to prove nonregularity. MyhillNerode Theorem, For understanding recognition of languages. The notes go further to present contextfree languages, including their ambiguity and properties of closure. The pumping lemma for contextfree languages is also discussed, while decidable and recognizable languages are informed by a deep underpinning in computational theory.

sNA Pages
Theory of Computation Tutorials

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.

sNA Pages