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Introduction to Computer Theory

Introduction to Computer Theory Author D. I. A. Cohen
ISBN-10 OCLC:714583828
Release 2003
Pages 634
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Automata theory. Background. Languages. Recursive definitions. Regular expressions. Finite automata. Transition graphs. Kleene's theorem. Nondeterminism. Finite automata with output. Regular languages. Nonregular languages. Decidability. Pushdown automata Theory. Context-free grammars. Trees. Regular grammars. Chomsky normal form. Pushdown automata. CFG=PDA. Context-free languages. Non-context-free languages. Intersection and complement. Parsing. Decidability. Turing theory. Turing machines. Post machines. Minsky's theorem. Variations on the TM. Recursively enumerable languages. The encoding of turing machines. The chomsky hierarchy. Computers. Bibliography. Table of theorems.



INTRODUCTION TO COMPUTER THEORY 2ND ED

INTRODUCTION TO COMPUTER THEORY  2ND ED Author Cohen
ISBN-10 8126513349
Release 2007-08-01
Pages 648
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Market_Desc: · Computer Scientists· Students · Professors Special Features: · Easy to read and the coverage of mathematics is fairly simple so readers do not have to worry about proving theorems· Contains new coverage of Context Sensitive Language About The Book: This text strikes a good balance between rigor and an intuitive approach to computer theory. Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found refreshing . The goal of the book is to provide a firm understanding of the principles and the big picture of where computer theory fits into the field.



Introduction to the Theory of Computation

Introduction to the Theory of Computation Author Michael Sipser
ISBN-10 9781285401065
Release 2012-06-27
Pages 504
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Now you can clearly present even the most complex computational theory topics to your students with Sipser's distinct, market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this highly anticipated revision retains the unmatched clarity and thorough coverage that make it a leading text for upper-level undergraduate and introductory graduate students. This edition continues author Michael Sipser's well-known, approachable style with timely revisions, additional exercises, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. This edition's refined presentation ensures a trusted accuracy and clarity that make the challenging study of computational theory accessible and intuitive to students while maintaining the subject's rigor and formalism. Readers gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this an ideal ongoing reference tool for those studying theoretical computing. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Introduction to the Theory of Programming Languages

Introduction to the Theory of Programming Languages Author Gilles Dowek
ISBN-10 0857290762
Release 2010-12-09
Pages 96
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The design and implementation of programming languages, from Fortran and Cobol to Caml and Java, has been one of the key developments in the management of ever more complex computerized systems. Introduction to the Theory of Programming Languages gives the reader the means to discover the tools to think, design, and implement these languages. It proposes a unified vision of the different formalisms that permit definition of a programming language: small steps operational semantics, big steps operational semantics, and denotational semantics, emphasising that all seek to define a relation between three objects: a program, an input value, and an output value. These formalisms are illustrated by presenting the semantics of some typical features of programming languages: functions, recursivity, assignments, records, objects, ... showing that the study of programming languages does not consist of studying languages one after another, but is organized around the features that are present in these various languages. The study of these features leads to the development of evaluators, interpreters and compilers, and also type inference algorithms, for small languages.



Introduction to Computer Theory Custom Unisa

Introduction to Computer Theory Custom Unisa Author Cohen
ISBN-10 1119920663
Release 2014-03-05
Pages 680
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Introduction to Computer Theory Custom Unisa has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Computer Theory Custom Unisa also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Computer Theory Custom Unisa book for free.



Languages and Machines

Languages and Machines Author Thomas A. Sudkamp
ISBN-10 0321315340
Release 2006
Pages 654
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Providing a mathematically sound presentation of the theory of computer science this work is suitable for junior and senior level computer science majors. It develops an intuitive understanding of the theoretical concepts and associated mathematics through examples and illustrations and gives instructors an ability to design their courses.



Models of Computation

Models of Computation Author Maribel Fernández
ISBN-10 1848824343
Release 2009-04-14
Pages 184
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A Concise Introduction to Computation Models and Computability Theory provides an introduction to the essential concepts in computability, using several models of computation, from the standard Turing Machines and Recursive Functions, to the modern computation models inspired by quantum physics. An in-depth analysis of the basic concepts underlying each model of computation is provided. Divided into two parts, the first highlights the traditional computation models used in the first studies on computability: - Automata and Turing Machines; - Recursive functions and the Lambda-Calculus; - Logic-based computation models. and the second part covers object-oriented and interaction-based models. There is also a chapter on concurrency, and a final chapter on emergent computation models inspired by quantum mechanics. At the end of each chapter there is a discussion on the use of computation models in the design of programming languages.



Basic Category Theory for Computer Scientists

Basic Category Theory for Computer Scientists Author Benjamin C. Pierce
ISBN-10 0262660717
Release 1991
Pages 100
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Basic Category Theory for Computer Scientists provides a straightforward presentationof the basic constructions and terminology of category theory, including limits, functors, naturaltransformations, adjoints, and cartesian closed categories.



Introduction to Switching and Automata Theory

Introduction to Switching and Automata Theory Author Michael A. Harrison
ISBN-10 UOM:39015000493372
Release 1965
Pages 499
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Introduction to Switching and Automata Theory has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Switching and Automata Theory also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Switching and Automata Theory book for free.



Python Programming

Python Programming Author John M. Zelle
ISBN-10 9781887902991
Release 2004
Pages 517
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This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.



Introduction to Lattice Theory with Computer Science Applications

Introduction to Lattice Theory with Computer Science Applications Author Vijay K. Garg
ISBN-10 9781119069737
Release 2016-03-02
Pages 272
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A computational perspective on partial order and lattice theory, focusing on algorithms and their applications This book provides a uniform treatment of the theory and applications of lattice theory. The applications covered include tracking dependency in distributed systems, combinatorics, detecting global predicates in distributed systems, set families, and integer partitions. The book presents algorithmic proofs of theorems whenever possible. These proofs are written in the calculational style advocated by Dijkstra, with arguments explicitly spelled out step by step. The author’s intent is for readers to learn not only the proofs, but the heuristics that guide said proofs. Introduction to Lattice Theory with Computer Science Applications: Examines; posets, Dilworth’s theorem, merging algorithms, lattices, lattice completion, morphisms, modular and distributive lattices, slicing, interval orders, tractable posets, lattice enumeration algorithms, and dimension theory Provides end of chapter exercises to help readers retain newfound knowledge on each subject Includes supplementary material at www.ece.utexas.edu/~garg Introduction to Lattice Theory with Computer Science Applications is written for students of computer science, as well as practicing mathematicians.



Concise Computer Vision

Concise Computer Vision Author Reinhard Klette
ISBN-10 9781447163206
Release 2014-01-04
Pages 429
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This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.



Introduction to Computer Theory

Introduction to Computer Theory Author Cohen
ISBN-10 0471173053
Release 1996-12-01
Pages 188
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Introduction to Computer Theory has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Computer Theory also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Computer Theory book for free.



Introduction to Automata Theory Languages and Computation

Introduction to Automata Theory  Languages  and Computation Author
ISBN-10 8131764613
Release 1979
Pages 418
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Introduction to Automata Theory Languages and Computation has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Automata Theory Languages and Computation also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Automata Theory Languages and Computation book for free.



Introduction to Languages and the Theory of Computation

Introduction to Languages and the Theory of Computation Author John Martin
ISBN-10 0073191469
Release 2010-02-02
Pages 448
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Introduction to Languages and the Theory of Computation helps students make the connection between the practice of computing and an understanding of the profound ideas that defines it. The book's organization and the author's ability to explain complex topics clearly make this introduction to the theory of computation an excellent resource for a broad range of upper level students. The author has learned through many years of teaching that the best way to present theoretical concepts is to take advantage of the precision and clarity of mathematical language. In a way that is accessible to students still learning this language, he presents the necessary mathematical tools gently and gradually which provides discussion and examples that make the language intelligible.



Artificial Neural Networks

Artificial Neural Networks Author P.J. Braspenning
ISBN-10 3540594884
Release 1995-06-02
Pages 293
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This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.



An Introduction to Formal Language Theory

An Introduction to Formal Language Theory Author Robert N. Moll
ISBN-10 9781461395959
Release 2012-12-06
Pages 203
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The study of formal languages and of related families of automata has long been at the core of theoretical computer science. Until recently, the main reasons for this centrality were connected with the specification and analy sis of programming languages, which led naturally to the following ques tions. How might a grammar be written for such a language? How could we check whether a text were or were not a well-formed program generated by that grammar? How could we parse a program to provide the structural analysis needed by a compiler? How could we check for ambiguity to en sure that a program has a unique analysis to be passed to the computer? This focus on programming languages has now been broadened by the in creasing concern of computer scientists with designing interfaces which allow humans to communicate with computers in a natural language, at least concerning problems in some well-delimited domain of discourse. The necessary work in computational linguistics draws on studies both within linguistics (the analysis of human languages) and within artificial intelligence. The present volume is the first textbook to combine the topics of formal language theory traditionally taught in the context of program ming languages with an introduction to issues in computational linguistics. It is one of a series, The AKM Series in Theoretical Computer Science, designed to make key mathematical developments in computer science readily accessible to undergraduate and beginning graduate students.