Eigenvalue Computation Of Large Sparse Matrices Professors in Global

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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
sparse nonparametric models
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Charles Van Loan
Cornell University Netherlands
matrix computations
eigenvalue problems
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Nagabhushana Prabhu
Purdue University United States of America
eigenvalue computation of large sparse matrices
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Tim Davis
Texas A&M University United States of America
sparse matrix algorithms
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Jacek Gondzio
University of Edinburgh United Kingdom
sparse matrix factorization
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Jacek Gondzio
University of Edinburgh United Kingdom
sparse matrix factorization
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Svenska Stenström
University of Gothenburg Sweden
sparse tensor computations
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Luke Miratrix
Harvard University United States of America
high-dimensional sparse methods
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Walter Murray
Stanford University United States of America
sparse matrix methods
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Kenneth Jackson
University of Toronto Canada
large sparse linear systems
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Vassilis Digalakis
Boston University United States of America
sparse machine learning
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Guillermo Sapiro
Duke University Singapore
sparse modeling
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Joel Tropp
California Institute of Technology United States of America
sparse modeling
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
sparse modeling
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Irina Rish
University of Montreal Canada
sparse modeling
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
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Morten Nielsen
Aalborg University Denmark
sparse signal processing
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Elias Zea Marcano
KTH Royal Institute of Technology Sweden
sparse signal processing
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