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Springer Binary Decision Diagrams and Applications for VLSI CAD

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Description

This Springer technical reference explores symbolic Boolean manipulation using binary decision diagrams (BDDs), a proven approach for very large scale integration (VLSI) computer-aided design (CAD) applications. BDDs provide an efficient data structure for representing and manipulating Boolean functions through straightforward graph algorithms. The book traces the conceptual foundations of decision graphs from early work by Lee and Akers, then demonstrates how BDDs have become essential tools in modern digital design. Covering practical applications across CAD systems, this volume explains how functions can be constructed, compared, and optimised using BDD methodology. Ideal for engineers and computer scientists working in microprocessor design, circuit verification, and automated synthesis, this comprehensive guide bridges theory and real-world implementation in VLSI technology.

Key Features

Part of the Springer International Series in Engineering and Computer Science (volume 342), providing peer-reviewed technical depth for academic and professional audiences.

Covers symbolic Boolean manipulation techniques using binary decision diagrams as the core data structure for VLSI CAD applications.

Explains graph algorithms for constructing, manipulating and comparing Boolean functions efficiently in digital design workflows.

Traces historical development from Lee and Akers' early decision graph concepts to modern BDD implementations in contemporary CAD systems.

Addresses practical applications of BDD technology across microprocessor architecture, circuit verification and automated design synthesis.

Suitable for computer science professionals, electrical engineers and researchers working with very large scale integration and computer-aided design tools.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 1995
Listed Since
16 February 2007

Barcode

No barcode data available

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