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A computationally efficient parallel L evenberg‐ M arquardt algorithm for highly parameterized inverse model analyses
Author(s) -
Lin Youzuo,
O'Malley Daniel,
Vesselinov Velimir V.
Publication year - 2016
Publication title -
water resources research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2016wr019028
Subject(s) - parameterized complexity , krylov subspace , levenberg–marquardt algorithm , algorithm , inverse , computer science , inverse problem , curse of dimensionality , mathematical optimization , subspace topology , mathematics , iterative method , artificial neural network , artificial intelligence , mathematical analysis , geometry
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