Reduced Order Multiscale Methods Professors in Global

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Tim Colonius
California Institute of Technology United States of America
reduced-order modeling
high-order-accurate methods
numerical methods
immersed-boundary methods
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Jacob Fish
Columbia University United States of America
reduced order multiscale methods
stochastic multiscale methods
multiscale computational science
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Bartolomeo Stellato
Princeton University United States of America
first-order methods
large scale optimization
mathematical optimization
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Igor Pivkin
Università della Svizzera italiana Switzerland
multiscale modeling
numerical methods
stochastic multiscale modeling
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Nicolas Loizou
Johns Hopkins University United States of America
large-scale optimization
randomized algorithms
decentralized algorithms
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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
hybrid optimization algorithms
evolutionary multi-objective optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
optimization algorithms
distributed optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
distributed optimization
machine learning optimization
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
numerical methods
random approximation algorithms
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Clemens Thielen
Technical University of Munich Germany
multiobjective parametric optimization
discrete optimization
approximation algorithms
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
discrete algorithms
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Olaf Van Der Sluis
Eindhoven University of Technology Belgium
reduced order modeling
multi-scale degradation
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Ruth Vazquez Sabariego
KU Leuven Belgium
reduced-order modelling
numerical methods
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Bojana Rosic
University of Twente Netherlands
reduced modeling
multiscale analysis
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Herta Fitzer
University of Heidelberg Germany
multiscale methods
numerical methods
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Barbara Verfürth
University of Bonn Germany
multiscale methods
numerical methods
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Anthony Patera
Massachusetts Institute of Technology United States of America
reduced basis methods
numerical methods
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Ali Ahrari
University of New South Wales Australia
multi-modal optimization
multi-objective optimization
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Rajeev Jaiman
University of British Columbia Canada
model order reduction
computational methods
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Nicolas Hadjiconstantinou
Massachusetts Institute of Technology United States of America
multiscale simulation methods
computational methods
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