Titlebook: Verification, Model Checking, and Abstract Interpretation; 19th International C Isil Dillig,Jens Palsberg Conference proceedings 2018 Sprin

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Verification, Model Checking, and Abstract Interpretation978-3-319-73721-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/v/image/981721.jpg

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Modicum

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Benjamin Aminof,Sasha Rubin,Ilina Stoilkovska,Josef Widder,Florian Zulegerhave a large barrier when the catalyst is absent. While programming such energy barriers seems to require knowledge of the specific molecular substrate, we develop a novel substrate-independent approach. We extend the recently-developed model known as thermodynamic binding networks, demonstrating pr

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Johannes Bader,Jonathan Aldrich,Éric Tantert time scales. In this paper we present and apply two novel methods aimed at automatic complexity and model reduction by numerical algorithms. The first method combines dynamic sensitivity analysis with singular value decomposition. The aim is to determine the minimal dimension of the kinetic model

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Fabrizio Biondi,Michael A. Enescu,Annelie Heuser,Axel Legay,Kuldeep S. Meel,Jean Quilbeufn networks are prone to errors in the initial modeling and subsequent updates of the model..We present the Meta-species-oriented Biochemical Systems Language (MobsPy), a language designed to simplify the definition of chemical reaction networks in Python. MobsPy is built around the notion of meta-sp