Algorithms and methods for scientific computing

Project Details


The project proposed is concerned with iterative methods for solving very large eigenvalue problems and preconditioning, as well as developing mathematical techniques related with computations. These two fundamental problems of scientific computing are intertwined. They appear all over in applications varying from finding energy levels of atoms and molecules to studying stabilty properties of bridges and other large scale mechanical structures. Solving eigenvalue and preconditioning problems encompass all the aspects of modern computing such as sparness, complexity and parallellizability, requiring also a large pool of mathematical techniques for achieving breakthroughs.
Effective start/end date01/09/201531/08/2019

Collaborative partners

  • Aalto University (lead)
  • SA: Research funding (other) (Project partner)
  • Suomen Akatemia (Project partner)


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