Sequential and Parallel Processing in Depth Search Machines - Adam Kapralski

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Sequential and Parallel Processing in Depth Search Machines

By: Adam Kapralski

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Hardcover | 1 January 1994

At a Glance

Hardcover
336 Pages

Dimensions(cm)
22.86 x 17.15 x 1.91

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Depth search machines (DSMs) and their applications for processing combinatorial tasks are investigated and developed in this book. The combinatorial tasks are understood widely and contain sorting and searching, processing NP-complete and isomorphic complete problems, computational geometry pattern recognition, image analysis and expert reasoning. The main philosophy is to see EXISTENCE and EVERY as the basic tasks, while IDENTIFICATION, SEARCHING and ALL have their own composed structure. In this book, IDENTIFICATION, SEARCHING and ALL algorithms are performed in single and parallel DSMs. It gives models suitable for representing combinatorial problems in order to process them in DSMS. The given approach should enable low computational complexity for many practical algorithms to be reached, which is theoretically quite unexpected so long the classic approach is considered.

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Non-Fiction Computing & I.T.Databases Computer Science Computer Architecture & Logic Design Parallel Processing Booktopia Publisher Services World Scientific Publishing

Foreword
Introduction
Depth Search Machines	p. 1
Processing Binary Records in MEMRC	p. 17
C F Databases	p. 37
Processing C F Databases in PDSM	p. 67
Representing Intractable Problems by Binary Matrices	p. 83
Solving Intractable Problems in DSMs	p. 123
The Geometry of Extrema	p. 137
Computational Geometry for DSM	p. 165
The Image Transforms	p. 201
Classification and Analysis of Geometrical Objects	p. 237
Expert Systems in DSM	p. 277
Bibliography	p. 303
Index	p. 309
List of Figures	p. 313
Table of Contents provided by Blackwell. All Rights Reserved.

Sequential and Parallel Processing in Depth Search Machines

At a Glance

Hardcover

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How to return your order

Defective items

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