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Springer Advanced BDD Optimization - Springer Computer Science Book

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Description

Advanced BDD Optimization presents a comprehensive exploration of Binary Decision Diagrams and their applications in modern VLSI CAD systems. This Springer publication covers established concepts alongside cutting-edge research in BDD optimization, including techniques for logic synthesis, verification, and design-for-testability. The book examines how reduced ordered BDDs have transformed digital design practices and explores the emerging convergence between BDD and Boolean Satisfiability (SAT) methodologies. Readers will discover practical approaches to optimizing BDDs for novel objective functions in design space exploration, making this an essential reference for computer scientists, engineers, and researchers working in AI, machine learning, and advanced computing systems.

Key Features

Springer publication offering in-depth coverage of Binary Decision Diagram theory and advanced optimization techniques for VLSI CAD applications.

Explores practical BDD implementations for logic synthesis, circuit verification, and design-for-testability across modern computing architectures.

Examines the integration of BDD and Boolean Satisfiability (SAT) concepts, reflecting the latest research trends in computer science.

Covers design space exploration methods using optimized BDDs with contemporary objective functions for improved circuit design.

Serves as a foundational resource for researchers and professionals in AI, machine learning, and computer-aided design.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 August 2005
Listed Since
04 January 2007

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No barcode data available

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