Mathematical Foundations of Advanced Informatics

Suitable for undergraduate and graduate courses in computer science
Demonstrates the mathematical underpinnings of modern computer science, valuable foundational knowledge for academics and researchers
Class-tested over many years in various universities

Suitable for undergraduate and graduate courses in computer science Demonstrates the mathematical underpinnings of modern computer science, valuable foundational knowledge for academics and researchers Class-tested over many years in various universities

Autorentext
Bernhard Steffen studied mathematics at Christian-Albrechts Universität zu Kiel, where he gained his PhD in Computer Science. After postdoctoral positions in the Laboratory for the Foundations of Computer Science at the University of Edinburgh and at Aarhus Universitet, he held staff positions at RWTH Aachen and Universität Passau. Since 1997 he has led the Chair for Programming Systems and Compiler Construction at Technische Universität Dortmund. He founded the international conference TACAS, Tools and Algorithms for the Construction and Analysis of Systems, and the international academic journal Software Tools for Technology Transfer (STTT). He has published over 300 internationally refereed papers and articles, his research interests include formal verification methods and tools for program analysis, compiler optimization, model generation, testing, and service-oriented software development.
Oliver Rüthing studied computer science at Christian-Albrechts Universität zuKiel, where he worked from 1991 to 1997 as a research associate. After his PhD in 1997 he moved to Technische Universität Dortmund, he is a member of the scientific staff of the Chair for Programming Systems. His research interests include compilers and model checking.
Michael Huth received his PhD in mathematics in 1991 from Tulane University. After postdoctoral and research positions in computer science and mathematics in the US, the UK, and Germany, he was an assistant professor in the Dept. of Computing and Information Sciences at Kansas State University from 1996 to 2001. He moved to the Dept. of Computing at Imperial College London in 2001 where he is now a professor. His research combines blue-sky and application-driven research in cybersecurity, mathematical modeling, and formal verification.

Zusammenfassung
Suitable for undergraduate and graduate courses in computer science
Demonstrates the mathematical underpinnings of modern computer science, valuable foundational knowledge for academics and researchers
Class-tested over many years in various universities

Inhalt
Introduction.- Propositions and Sets.- Relations and Functions.- Inductive Definitions.- Inductive Proofs.- Inductive Approach: Potential, Limitations, and Pragmatics. <p