UID:
almafu_9959074452302883
Umfang:
1 online resource (XXIII, 433 p. 1251 illus., 61 illus. in color.)
Ausgabe:
1st ed. 2019.
ISBN:
3-030-17462-X
Serie:
Theoretical Computer Science and General Issues, 11427
Inhalt:
This book is Open Access under a CC BY licence. .
Anmerkung:
SAT and SMT -- Decomposing Farkas Interpolants -- Parallel SAT Simplification on GPU Architectures -- Encoding Redundancy for Satisfaction-Driven Clause Learning -- WAPS: Weighted and Projected Sampling -- Building Better Bit-Blasting for Floating-Point Problems -- The Axiom Profiler: Understanding and Debugging SMT Quantifier Instantiations -- On the Empirical Time Complexity of Scale-Free 3-SAT at the Phase Transition -- Modular and Efficient Divide-and-Conquer SAT Solver on Top of the Painless Framework -- SAT Solving and Theorem Proving -- Quantitative Verification of Masked Arithmetic Programs against Side-Channel Attacks -- Incremental Analysis of Evolving Alloy Models -- Extending a Brainiac Prover to Lambda-Free Higher-Order Logic -- Verification and Analysis LCV: A Verification Tool for Linear Controller Software -- Semantic Fault Localization and Suspiciousness Ranking -- Computing Coupled Similarity -- Reachability Analysis for Termination and Confluence of Rewriting -- Model Checking -- VoxLogicA: a Spatial Model Checker for Declarative Image Analysis -- On Reachability in Parameterized Phaser Programs -- Abstract Dependency Graphs and Their Application to Model Checking -- Tool Demo -- nonreach – A Tool for Nonreachability Analysis -- The Quantitative Verification Benchmark Set -- ILAng: A Modeling Platform for SoC Verification using Instruction-Level Abstractions -- MetAcsl: Specification and Verification of High-Level Properties -- ROLL 1.0: !-Regular Language Learning Library -- Symbolic Regex Matcher -- COMPASS 3.0 -- Debugging of Behavioural Models with CLEAR -- Machine Learning -- Omega-Regular Objectives in Model-Free Reinforcement Learning -- Verifiably Safe Off-Model Reinforcement Learning. .
,
English
Weitere Ausg.:
ISBN 3-030-17461-1
Sprache:
Englisch
DOI:
10.1007/978-3-030-17462-0
