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Numerical Software Verification: 12th International Workshop, NSV 2019, New York City, NY, USA, July 1314, 2019, Proceedings 2019 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 145 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 42 Illustrations, color; 26 Illustrations, black and white; XV, 145 p. 68 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 11652
  • Ilmumisaeg: 03-Aug-2019
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030284220
  • ISBN-13: 9783030284220
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Numerical Software Verification: 12th International Workshop, NSV 2019, New York City, NY, USA, July 1314, 2019, Proceedings 2019 ed.Suurem pilt
  • Formaat: Paperback / softback, 145 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 42 Illustrations, color; 26 Illustrations, black and white; XV, 145 p. 68 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 11652
  • Ilmumisaeg: 03-Aug-2019
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030284220
  • ISBN-13: 9783030284220
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030284220.html
Märksõnad:
This book constitutes the proceedings of the 12th International Workshop on Numerical Software Verification, NSV 2019, held in New York City, NY, USA, in July 2019 - colocated with the International Conference on Computer Aided Verification, CAV 2019.





The 5 full papers presented together with 2 short papers, 3 abstracts of invited talks, and 2 tutorial papers were carefully reviewed and selected from numerous submissions.





The NSV 2017 workshop is dedicated to the development of logical and mathematical techniques for the reasoning about programmability and reliability.
Tutorials.- Correctness and Optimality for Control Systems.- Modeling, Control, and Verification of an Automated Transport System.- Formal Methods for Highly Automated Driving Applications.- Trust, Resilience and Interpretability of AI Models.- Reinforcement Learning and Formal Requirements.- Contributed Papers.- An Evaluation of Monte-Carlo Tree Search for Property Falsification on Hybrid Flight Control Laws.- Rigorous Continuous Evolution of Uncertain Systems.- Stochastic Local Search for Solving Floating-Point Constraints.- Evaluating Branching Heuristics in Interval Constraint Propagation for Satisfiability.- Approximate Probabilistic Relations for Compositional Abstractions of Stochastic Systems.- Polytopic Trees for Verification of Learning-Based Controllers.- Mutant Accuracy Testing for Assessing the Implementation of Numerical Algorithms.