FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title Models of Computation: Exploring the Power of Computing
 Authors John E. Savage
 Publisher: AddisonWesley Pub (Sd) (1998); eBook (Creative Commons Licensed)
 License(s): Creative Commons License (CC)
 Hardcover: 672 pages
 eBook: PDF (698 pages, 4.3 MB), ePub, Kindle, etc.
 Language: English
 ISBN10: 0201895390
 ISBN13: 9780201895391
 Share This:
Book Description
The focus of this book is on finite problems and concrete computational models. It covers the traditional topics of formal languages, automata and complexity classes, as well as an introduction to the more modern topics of spacetime tradeoffs, memory hierarchies, parallel computation, the VLSI model, and circuit complexity. These topics are integrated throughout the book as illustrated by the early introduction of Pcomplete and NPcomplete problems.
Models of Computation provides the first textbook treatment of spacetime tradeoffs and memory hierarchies. It gives a comprehensive introduction to computational complexity as well as a brief but modern coverage of circuit complexity. Parallelism is integrated throughout the book.
About the Authors John E. Savage is a Professor of Computer Science at Brown University.
 Theory of Computation
 Computational Complexity
 Mathematical Logic  Set Theory, Model Theory, Computability, etc
 Introduction to Computer Science
 Models of Computation: Exploring the Power of Computing (John E. Savage)
 The Mirror Site (1)  PDF, ePub, Kindle, etc.

Towards a SelfReplicating Turing Machine (Ralph P. Lano)
In this book partial implementations of Von Neumann's Universal Constructor and universal copier are provided. Combining different technologies, we arrive at a proposal for a selfreplicating Turing machine.

Theory of Computation, Making Connections (Jim Hefferon)
The book is geared toward those who thirst for computation theory knowledge. To cater to the demands of a wide range of people, the principles in this book are explained in a way that is easy to understand, digest and apply in the upcoming career.

Mathematics and Computation (Avi Wigderson)
This book provides a broad, conceptual overview of computational complexity theory  the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory, etc.

Introduction to Computing: Language, Logic, and Machines
This book focuses on how to describe information processes by defining procedures, how to analyze the costs required to carry out a procedure, and the fundamental limits of what can and cannot be computed mechanically.

Soft Computing: Techniques in Engineering Sciences
Soft Computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. This book elaborates on the most recent applications of Soft Computing in various fields of engineering.

Quantum Computing: Progress and Prospects
Provides an introduction to the Quantum Computing, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing realworld problems.

Foundations of Computation (Carol Critchlow, et al)
It includes topics from discrete mathematics, automata theory, formal language theory, and the theory of computation, along with practical applications to computer science. The course has no prerequisites other than introductory computer programming.

Introduction to Theory of Computation (Anil Maheshwari, et al)
This is a textbook on formal languages, automata theory, and computational complexity. This text strikes a good balance between rigor and an intuitive approach to computer theory.

Computing Fundamentals: Theory and Practice of Software Design
The book introduces the reader to computer programming, i.e. algorithms and data structures. It covers many new programming concepts that have emerged in recent years including objectoriented programming and design patterns.

Matters Computational: Ideas, Algorithms, Source Code
This book provides algorithms and ideas for computationalists, whether a working programmer or anyone interested in methods of computation. The implementations are done in C++ and the GP language, written for POSIXcompliant platforms.

Introduction to Theory of Computation (Eitan M. Gurari)
This book explores some of the more important terminologies and questions concerning programs, computers, problems, and computation. The exploration reduces in many cases to a study of mathematical theories, etc.
:






















