Mixture Models Computing Algorithms Professors in Global

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John Chinneck
Carleton University Canada
concurrent algorithms
mixed integer optimization
algorithms
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William Symes
Rice University United States of America
algorithms
mathematical modeling
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Daniel Merkle
University of Southern Denmark Denmark
algorithms
mathematical modelling
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Jean-charles Delvenne
Catholic University of Louvain Belgium
algorithms
mathematical modelling
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Jan Kronqvist
Royal Institute of Technology Sweden
algorithms
mixed-integer optimization
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Lene Favrholdt
University of Southern Denmark Denmark
algorithms
on-line algorithms
combinatorial optimization
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Heidi Gebauer
ZHAW Zurich University of Applied Sciences Switzerland
algorithms
probability computing
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Olaf Schenk
Università della Svizzera italiana Switzerland
multicore algorithms
manycore algorithms
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Olaf Schenk
Università della Svizzera italiana Switzerland
multicore algorithms
manycore algorithms
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Unknown Unknown
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
simulation algorithms
computational modeling
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Tianyi Li
Aalborg University Denmark
algorithms
advanced computational models
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Jim Ji
Texas A&M University United States of America
mathematical modeling
reconstruction algorithms
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Anupam Gupta
New York University United States of America
algorithms
approximation algorithms
algorithms in uncertain environments
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Torsten Suel
New York University Tandon School of Engineering United States of America
algorithms
experimental algorithmics
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Lars Karlsson
Umeå University Sweden
matrix computations
efficient algorithms
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Aditya Potukuchi
York University Canada
algorithms
algorithmic counting
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
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Santhoshini Velusamy
University of Waterloo Canada
algorithms
sublinear algorithms
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Olga Trichtchenko
Western University Canada
mathematical modelling
mathematical computational methods
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Olga Trichtchenko
Western University Canada
mathematical modelling
mathematical computational methods
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Charles Van Loan
Cornell University Netherlands
matrix computations
algorithms for large-scale data analysis
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