Abstract
More and more disciplines increasingly rely in their progress on the development of mathematical models, methods, and algorithms. Mathematical modeling and computational science are seen as a driving force in scientific discovery and innovative, mathematics-based technologies. They can facilitate new advances in systems-science-based approaches in applications and serve as a decisive factor in sustainable socio-economic development of the society. The chapter provides an overview of these new trends.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Currently Khiva, Uzbekistan; geographically, Khwarizm or Chorasmia is a large oasis region on the Amu Darya river delta in western Central Asia.
References
Poincare, H.: L’avenir des mathématiques (“The Future of Mathematics”). Revue générale des sciences pures et appliquées, 19 (23), 930–939 (1908).
Xie, C., et al.: Computational Experiments for Science Education. Science, 332 (6037), 1516–1517 (2011).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Melnik, R.V.N., Kotsireas, I.S. (2013). Interconnected Challenges and New Perspectives in Applied Mathematical and Computational Sciences. In: Melnik, R., Kotsireas, I. (eds) Advances in Applied Mathematics, Modeling, and Computational Science. Fields Institute Communications, vol 66. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5389-5_1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5389-5_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-5388-8
Online ISBN: 978-1-4614-5389-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)