Numerical Software Verification: 12th International Workshop, NSV 2019, New York City, NY, USA, July 13-14, 2019, Proceedings

Numerical Software Verification: 12th International Workshop, NSV 2019, New York City, NY, USA, July 13-14, 2019, Proceedings

ISBN-10:
3030284220
ISBN-13:
9783030284220
Pub. Date:
08/03/2019
Publisher:
Springer International Publishing
ISBN-10:
3030284220
ISBN-13:
9783030284220
Pub. Date:
08/03/2019
Publisher:
Springer International Publishing
Numerical Software Verification: 12th International Workshop, NSV 2019, New York City, NY, USA, July 13-14, 2019, Proceedings

Numerical Software Verification: 12th International Workshop, NSV 2019, New York City, NY, USA, July 13-14, 2019, Proceedings

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Overview

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.


Product Details

ISBN-13: 9783030284220
Publisher: Springer International Publishing
Publication date: 08/03/2019
Series: Lecture Notes in Computer Science , #11652
Edition description: 1st ed. 2019
Pages: 145
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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.- Shastic Local Search for Solving Floating-Point Constraints.- Evaluating Branching Heuristics in Interval Constraint Propagation for Satisfiability.- Approximate Probabilistic Relations for Compositional Abstractions of Shastic Systems.- Polytopic Trees for Verification of Learning-Based Controllers.- Mutant Accuracy Testing for Assessing the Implementation of Numerical Algorithms.
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