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Interconnected Challenges and New Perspectives in Applied Mathematical and Computational Sciences

  • Roderick V. N. Melnik
  • Ilias S. Kotsireas
Part of the Fields Institute Communications book series (FIC, volume 66)

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.

Keywords

Computational Experiment Elliptic Curf Computational Science Random Matrix Theory Chorionic Plate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Poincare, H.: L’avenir des mathématiques (“The Future of Mathematics”). Revue générale des sciences pures et appliquées, 19 (23), 930–939 (1908). Google Scholar
  2. 2.
    Xie, C., et al.: Computational Experiments for Science Education. Science, 332 (6037), 1516–1517 (2011). CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.M²NeT Laboratory and Department of MathematicsWilfrid Laurier UniversityWaterlooCanada
  2. 2.IkerbasqueBasque Foundation for Science and BCAMBilbaoSpain
  3. 3.Department of Physics and Computer ScienceWilfrid Laurier UniversityWaterlooCanada

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