Concrete Abstractions / Texts & Monographs in Symbolic Computation (PDF)

Name: Concrete Abstractions / Texts & Monographs in Symbolic Computation
Brand: Springer Nature Switzerland
SKU: 147769183
Price: 82.49 EUR
Availability: OnlineOnly

Formalizing and Analyzing Discrete Theories and Algorithms with the RISCAL Model Checker (Sprache: Englisch)

Autor: Wolfgang Schreiner

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Concrete Abstractions / Texts & Monographs in Symbolic Computation, Wolfgang Schreiner

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This book demonstrates how to formally model various mathematical domains (including algorithms operating in these domains) in a way that makes them amenable to a fully automatic analysis by computer software.The presented domains are typically investigated...

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The presented domains are typically investigated in discrete mathematics, logic, algebra, and computer science; they are modeled in a formal language based on first-order logic which is sufficiently rich to express the core entities in whose correctness we are interested: mathematical theorems and algorithmic specifications. This formal language is the language of RISCAL, a "mathematical model checker" by which the validity of all formulas and the correctness of all algorithms can be automatically decided. The RISCAL software is freely available; all formal contents presented in the book are given in the form of specification files by which the reader may interact with the software while studying the corresponding book material.

Autoren-Porträt von Wolfgang Schreiner

Wolfgang Schreiner is an associate professor at the Research Institute for Symbolic Computation (RISC) of the Johannes Kepler University Linz, Austria. He is working in formal methods of computer science (with previous research in parallel computing and functional programming), and has produced various software packages related to formal semantics, specification, and verification, in particular the RISC ProofNavigator, the RISC ProgramExplorer, and the RISC Algorithm Language (RISCAL). Formerly he directed a degree programme on Computer-based Learning at the Upper Austria University of Applied Sciences in Hagenberg.