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Verification, Model Checking, and Abstract Interpretation: 24th International Conference, VMCAI 2023, Boston, MA, USA, January 1617, 2023, Proceedings 1st ed. 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 389 pages, kõrgus x laius: 235x155 mm, kaal: 611 g, 80 Illustrations, color; 32 Illustrations, black and white; X, 389 p. 112 illus., 80 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13881
  • Ilmumisaeg: 17-Jan-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031249496
  • ISBN-13: 9783031249495
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Verification, Model Checking, and Abstract Interpretation: 24th International Conference, VMCAI 2023, Boston, MA, USA, January 1617, 2023, Proceedings 1st ed. 2023Suurem pilt
  • Formaat: Paperback / softback, 389 pages, kõrgus x laius: 235x155 mm, kaal: 611 g, 80 Illustrations, color; 32 Illustrations, black and white; X, 389 p. 112 illus., 80 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13881
  • Ilmumisaeg: 17-Jan-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031249496
  • ISBN-13: 9783031249495
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031249495.html
Märksõnad:
This book constitutes the proceedings of the 24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023, which took place in Boston, USA, in January 2023. 
The 17 full papers presented in this book were carefully reviewed and selected from 34 submissions. The contributions deal with program verification, model checking, abstract interpretation, program synthesis, static analysis, type systems, deductive methods, decision procedures, theorem proving, program certification, debugging techniques, program transformation, optimization, and hybrid and cyber-physical systems.

Distributing and Parallelizing Non-canonical Loops.- SMT-Based Modeling
and Verification of Spiking Neural Networks: A Case Study.- StaticPersist :
Compiler Support for PMEM Programming.- Symbolic Abstract Heaps for
Polymorphic Information-flow Guard Inference.- Satisfiability Modulo Custom
Theories in Z3.- Bayesian parameter estimation with guarantees via interval
analysis and simulation.- A Pragmatic Approach to Stateful Partial Order
Reduction.- Compositional Verification of Stigmergic Collective
Systems.- Efficient InterproceduralData-Flow Analysis using Treedepth and
Treewidth.- Maximal Robust Neural Network Specifications via Oracle-guided
Numerical Optimization.- A generic framework to coarse-grain stochastic
reaction networks by Abstract Interpretation.- CosySEL: Improving SAT
Solving Using Local Symmetries.- Sound Symbolic Execution via Abstract
Interpretation and its Application to Security.- Result Invalidation for
Incremental Modular Analyses.- Synthesizing History and Prophecy Variables
for Symbolic Model Checking.- Solving Constrained Horn Clauses over Algebraic
Data Types.- ARENA: Enhancing Abstract Refinement for Neural Network
Verification.