Binary Decision Diagrams: Theory and Implementation / Edition 1

Binary Decision Diagrams: Theory and Implementation / Edition 1

by Rolf Drechsler, Bernd Becker
     
 

ISBN-10: 0792381939

ISBN-13: 9780792381938

Pub. Date: 06/30/1998

Publisher: Springer US

Within the last 10-13 years Binary Decision Diagrams (BDDs) have become the state-of-the-art data structure in VLSI CAD for representation and manipulation of Boolean functions. Today, BDDs are widely used and in the meantime have also been integrated in commercial tools, especially in the area of verification and synthesis.
The interest in BDDs results from

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Overview

Within the last 10-13 years Binary Decision Diagrams (BDDs) have become the state-of-the-art data structure in VLSI CAD for representation and manipulation of Boolean functions. Today, BDDs are widely used and in the meantime have also been integrated in commercial tools, especially in the area of verification and synthesis.
The interest in BDDs results from the fact that the data structure is generally accepted as providing a good compromise between conciseness of representation and efficiency of manipulation. With increasing numbers of applications, also in non-CAD areas, classical methods of handling BDDs are being improved and new questions and problems evolve and have to be solved.
Binary Decision Diagrams: Theory and Implementation is intended both for newcomers to BDDs and for researchers and practitioners who need to implement them. Apart from giving a quick start for the reader who is not familiar with BDDs (or DDs in general), it also discusses several new aspects of BDDs, e.g. with respect to minimization and implementation of a package. It is an essential bookshelf item for any CAD designer or researcher working with BDDs.

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Product Details

ISBN-13:
9780792381938
Publisher:
Springer US
Publication date:
06/30/1998
Edition description:
1998
Pages:
200
Product dimensions:
9.00(w) x 6.00(h) x 0.63(d)

Table of Contents

Preface. 1. Introduction. 2. Notations and Definitions. 3. Decision Diagrams. 4. Theoretical Aspects. 5. Minimization of Decision Diagrams: Classical Methods. 6. Minimization Using Symmetries. 7. Alternative Minimization Concepts. 8. Implementational Concepts. 9. A Case Study: Two-Level And/Exor Minimization. 10. Conclusions. References. Index.

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