Subspace iteration for nonsymmetric eigenvalue problems applied to the [lambda]-eigenvalue problem
- Technische Univ., Dresden (Germany)
- Institute for Troposphere Research, Leipzig (Germany)
Often in reactor dynamics, higher eigenfunctions of the multigroup diffusion equation must be determined. An algorithm to calculate higher eigenfunctions (modes) of the [lambda]-eigenvalue problem corresponding to the steady-state two-group neutron diffusion equation is presented. The method is based on a special type of subspace iteration for large sparse nonsymmetric eigenvalue problems. Having been tested using an International Atomic Energy Agency benchmark problem and also applied to a VVER-1000 pressurized water reactor assembly, the algorithm was found to work very effectively and reliably. In its application, the algorithm presented is not restricted to the [lambda]-eigenvalue problem only but is also generally applicable to large sparse nonsymmetric eigenvalue problems even with multiple and complex eigenvalues.
- OSTI ID:
- 5886310
- Journal Information:
- Nuclear Science and Engineering; (United States), Vol. 115:3; ISSN 0029-5639
- Country of Publication:
- United States
- Language:
- English
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