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Application of preconditioned conjugate gradient method to eigenvalue problems for one-group neutron diffusion equation.
Author(s) -
Eiichi Suetomi,
Hiroshi Sekimoto
Publication year - 1988
Publication title -
journal of nuclear science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.668
H-Index - 63
eISSN - 1881-1248
pISSN - 0022-3131
DOI - 10.3327/jnst.25.100
Subject(s) - conjugate gradient method , conjugate , eigenvalues and eigenvectors , diffusion , derivation of the conjugate gradient method , conjugate residual method , neutron transport , nonlinear conjugate gradient method , physics , diffusion equation , neutron , nuclear physics , mathematics , mathematical analysis , thermodynamics , computer science , gradient descent , mathematical optimization , economics , economy , artificial neural network , service (business) , machine learning , quantum mechanics

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