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Projects / Programmes source: ARIS

Numerical methods for multiparameter eigenvalue problems

Research activity

Code Science Field Subfield
1.01.03  Natural sciences and mathematics  Mathematics  Numerical and computer mathematics 

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
Keywords
numerical methods, multiparameter eigenvalue problem, continuation method, Jacobi-Davidson's method
Evaluation (rules)
source: COBISS
Researchers (3)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  12066  PhD Janez Aleš  Mathematics  Researcher  2002 - 2003 
2.  20271  PhD Gašper Jaklič  Mathematics  Researcher  2002 - 2004 
3.  15136  PhD Bor Plestenjak  Mathematics  Head  2002 - 2004 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0101  Institute of Mathematics, Physics and Mechanics  Ljubljana  5055598000 
Abstract
The goal of the research is to find new and to improve the existing numerical methods for multiparameter eigenvalue problems. Problems of this type arise in a variety of applications, especially in partial differential equations of mathematical physics. Only few numerical methods are available for such problems at the moment. In particular we will examine numerical methods based on the continuation method and Jacobi-Davidson’s method. The advantage of continuation methods is that they do not require initial approximations. We will improve the methods based on the continuation method for the weakly elliptic and right definite algebraic two-parameter problems and work on methods for indefinite and multiparameter Sturm-Liouville boundary problems. Jacobi-Davidson’s type methods, which allow inexpensive calculation of a small number of eigenvalues, have been successfully applied to one-parameter problems, but have not been used for multiparameter problems yet. We will construct a Jacobi-Davidson’s type method for a right definite two-parameter problem. We will develop software libraries with implementations of new algorithms that will be available free to researchers all over the world.
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