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Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science / edited by Roderick Melnik, Roman Makarov, Jacques Belair.
Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online
View online- Format:
- Book
- Series:
- Fields Institute Communications, 2194-1564 ; 79
- Language:
- English
- Subjects (All):
- Mathematical models.
- Mathematics--Data processing.
- Mathematics.
- Mathematical Modeling and Industrial Mathematics.
- Computational Science and Engineering.
- Local Subjects:
- Mathematical Modeling and Industrial Mathematics.
- Computational Science and Engineering.
- Physical Description:
- 1 online resource (VIII, 444 p. 64 illus., 54 illus. in color.)
- Edition:
- 1st ed. 2017.
- Place of Publication:
- New York, NY : Springer New York : Imprint: Springer, 2017.
- Summary:
- 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.
- Notes:
- Includes bibliographical references at the end of each chapters and index.
- ISBN:
- 1-4939-6969-2
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