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New Data Structures and Algorithms for Logic Synthesis and Verification

core properties of logic circuits and developing new frameworks for logic reasoning engines.;

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Electronic Design Automation

"adjacent" field will find this an invaluable reference to the basic EDA concepts, principles, data structures, algorithms, and architectures for;

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Implementation and Application of Automata

of verification methods and model checking, industrial applications, natural language and speech processing, networking, new algorithms for manipulating;

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Static Analysis

systems verification, shape analysis and logic, termination analysis, bug detection, compiler optimization, software maintenance, security and;

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Calculus Of Computation

of first-order logic to state-of-the-art decision procedures for arithmetic, data structures, and combination theories. The textbook also presents;

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Language and Automata Theory and Applications

mining, algorithms on automata and words; automata and logic; automata for system analysis and program verification; automata networks;

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Language and Automata Theory and Applications

automata and words, automata and logic, automata for system analysis and programme verification, automata networks, automatic structures, codes;

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Data Structures and Algorithms in C++, International Edition

Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and;

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Data Structures and Network Algorithms

and especially in graph theory, but also on the development of new data structures and new techniques for analyzing algorithms. Four classical;

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Logic of Computation

basis for giving correct semantics of programs, for specification and verification of software, and for program synthesis. The lectures;

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Logic Minimization Algorithms for VLSI Synthesis

of logic minimization for the synthesis of area and performance effective circuits clearly emerged. In 1980, Richard Newton stirred our interest by;

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Language and Automata Theory and Applications

, algorithms on automata and words; automata and logic; automata for system analysis and program verification; automata networks, concurrency and Petri;

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Computer Science - Theory and Applications

to: algorithms and data structures; combinatorial optimization; constraint solving; computational complexity; cryptography; combinatorics;

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Structure and Rheology of Molten Polymers

time, new methods of synthesis and characterization allow the preparation and structural verification of samples having a range of branched;

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Learn Data Structures and Algorithms with Golang

in real-world scenarios Compare the complexity of different algorithms and data structures for improved code performance Book DescriptionGolang;

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A Practical Guide to Data Structures and Algorithms using Java

presentation illustrate and support an efficient methodology for the careful selection and application of data structures and algorithms. Appendices;

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Learning JavaScript Data Structures and Algorithms

-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.;

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Data Structures & Algorithms In C++

providing intuition and analysis of fundamental algorithms. * Offers a unique multimedia format for learning the fundamentals of data structures and;

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In-Memory Computing: Synthesis and Optimization

This book describes a comprehensive approach for synthesis and optimization of logic-in-memory computing hardware and architectures using;

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Algorithms and Data Structures

Workshop on Algorithm Theory, is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. WADS;

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Multiple-Valued Logic

examination of alternative representations of multiple-valued logic suitable for implementation as data structures in automated computer applications;

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Beginning Java Data Structures and Algorithms

data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to;

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Foundations of Software Science and Computation Structures

. They were organized in topical sections named: types; recursion and fixed-points; verification and program analysis; automata, logic, games;

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Systems and Software Verification: Model-Checking Techniques and Tools

logic as a formal language for behavioral properties, and model-checking algorithms. The second part explains how to write rich and structured;

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Logic-Based Program Synthesis and Transformation

talks were carefully reviewed and selected from 27 submissions. Among the topics covered are specification, synthesis, verification, analysis;

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SOFSEM 2017: Theory and Practice of Computer Science

compositionality; theory of mobile and distributed systems; verification and automated system analysis; petri nets, games and relaxed data structures;

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Systems and Software Verification

logic as a formal language for behavioral properties, and model-checking algorithms. The second part explains how to write rich and structured;

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