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Abstraction, Refinement and Proof for Probabilistic Systems

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Cover of 'Abstraction, Refinement and Proof for Probabilistic Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to pGCL : Its logic and its model
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    Chapter 2 Probabilistic loops: Invariants and variants
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    Chapter 3 Case studies in termination: Choice coordination, the dining philosophers, and the random walk
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    Chapter 4 Probabilistic data refinement: The steam boiler
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    Chapter 5 Theory for the demonic model
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    Chapter 6 The geometry of probabilistic programs
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    Chapter 7 Proved rules for probabilistic loops
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    Chapter 8 Infinite state spaces, angelic choice and the transformer hierarchy
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    Chapter 9 Quantitative temporal logic: An introduction
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    Chapter 10 The quantitative algebra of qTL
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    Chapter 11 The quantitative modal μ -calculus, and gambling games
Attention for Chapter 2: Probabilistic loops: Invariants and variants
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