Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science

Roderick Melnik

ISBN 10: 1493969684 / ISBN 13: 9781493969685

Verlag: Springer New York Sep 2017, 2017

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science. It focuses on recent progress and modern challenges in these areas. The volume provides a balance between fundamental theoretical and applied developments, emphasizing the interdisciplinary nature of modern trends and detailing state-of-the-art achievements in Applied Mathematics, Modeling, and Computational Science. The chapters have been authored by international experts in their respective fields, making this book ideal for researchers in academia, practitioners, and graduate students. It can also serve as a reference in the diverse selected areas of applied mathematics, modelling, and computational sciences, and is ideal for interdisciplinary collaborations. 452 pp. Englisch. Bestandsnummer des Verkäufers 9781493969685

Bibliografische Details

Titel: Recent Progress and Modern Challenges in ...

Verlag: Springer New York Sep 2017

Erscheinungsdatum: 2017

Einband: Buch

Zustand: Neu

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Inhaltsangabe:

This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science. It focuses on recent progress and modern challenges in these areas. The volume provides a balance between fundamental theoretical and applied developments, emphasizing the interdisciplinary nature of modern trends and detailing state-of-the-art achievements in Applied Mathematics, Modeling, and Computational Science.

The chapters have been authored by international experts in their respective fields, making this book ideal for researchers in academia, practitioners, and graduate students. It can also serve as a reference in the diverse selected areas of applied mathematics, modelling, and computational sciences, and is ideal for interdisciplinary collaborations.