Understand Mathematics, Understand Computing
Discrete Mathematics That All Computing Students Should Know
In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing. They want the reader to understand the elements of computing, rather than just know them. The basic topics are presented in a way that encourages readers to develop their personal way of thinking about mathematics. Many topics are developed at several levels, in a single voice, with sample applications from within the world of computing. Extensive historical and cultural asides emphasize the human side of mathematics and mathematicians.By me…
Mehr
CHF 115.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V104:
Folgt in ca. 10 Arbeitstagen
Produktdetails
Weitere Autoren: Rosenberg, Arnold L.
- ISBN: 978-3-030-58375-0
- EAN: 9783030583750
- Produktnummer: 35415110
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 580 S.
- Masse: H24.1 cm x B16.0 cm x D3.6 cm 1'027 g
- Auflage: 1st ed. 2020
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 1027
Über den Autor
Prof. Arnold Rosenberg is a distinguished university professor emeritus at the University of Massachusetts, Amherst. He also held research positions at Northeastern University and Colorado State University, a professorship at Duke University, and a staff research position at IBM Watson Research Center. He was elected a fellow of the ACM in 1996 for his work on graph-theoretic models of compuation, emphasizing theoretical studies of parallel algorithms and architectures, VLSI design and layout, and data structures. In 1997, he was elected as a fellow of the IEEE for fundamental contributions to theoretical aspects of computer science and engineering. Prof. Denis Trystram is a distinguished professor at the Grenoble Institute of Engineering, an honorary member of the Institut Universitaire de France (IUF), and he works at the Laboratoire d'Informatique de Grenoble (LIG) in the team-project DataMove-INRIA. His research interestst include the design and analysis of efficient algorithms for optimizing resource use in parallel and distributed systems, approximation algorithms for scheduling and packing problems, and algorithms for data analytics. Both authors have considerable teaching and practical experience in the application of discrete mathematics approaches to computing tasks.
8 weitere Werke von Denis Trystram:
Bewertungen
Anmelden