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Titlebook: Inequality and Uncertainty; Current Challenges f Marta Smagacz-Poziemska,M. Victoria Gómez,Juan Jos Book 2020 The Editor(s) (if applicable)

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Marta Smagacz-Poziemska,M. Victoria Gómez,Patrícia Pereira,Laura Guarino,Sebastian Kurtenbach,Juan Jtion with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver
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tion with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver
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M. Victoria Gómeztion with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver
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Susanne Franktion with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver
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tion with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver
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Begoña Aramayonation with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver
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Kaan Kubilay Aşardaries. The performance of an optimization algorithm is known to be largely dependent on the underlying mechanism of constraint handling. Most population based stochastic optimization methods prefer a feasible solution over an infeasible solution during their course of search. Such a preference driv
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Talja Blokland,Vojin Šerbedžijalogic by Italian EATCS chapter.Best 2012 doctoral dissertatiThis book describes the benefits that emerge when the fields of constraint programming and concurrency meet. On the one hand, constraints can be used in concurrency theory to increase the conciseness and the expressive power of concurrent l
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