Reduced Order 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
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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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Cynthia Vinzant
University of Washington United States of America
discrete optimization
linear optimization
mathematical optimization
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
discrete algorithms
approximation algorithms
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
numerical methods
random approximation algorithms
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Christopher Pain
Imperial College London United Kingdom
discrete element methods
numerical methods
inversion methods
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Sean Symon
University of Southampton United Kingdom
reduced-order modelling
optimization
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Ruth Vazquez Sabariego
KU Leuven Belgium
reduced-order modelling
numerical methods
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M Van Gijzen
Delft University of Technology Netherlands
reduction methods
iterative methods
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Manfred Trummer
Simon Fraser University Canada
high-order methods
computational methods
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Harold Kushner
Brown University United States of America
optimization methods
approximation methods
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Bartolomeo Stellato
Princeton University United States of America
first-order methods
mathematical optimization
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Kathryn Gillow
University of Oxford United Kingdom
high order methods
adaptive finite element methods
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Edward Scheinerman
Johns Hopkins University United States of America
random methods
partially ordered sets
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Michael Saunders
Stanford University United States of America
constrained optimization
mathematical methods
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Athanasios Angeloudis
University of Edinburgh United Kingdom
optimization methods
numerical methods
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Reem Khir
Purdue University United States of America
constrained optimization
optimization
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Gregory Sorkin
London School of Economics and Political Science United Kingdom
randomized optimization
optimization
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Prashant Singh
Uppsala University Sweden
constrained multi-objective optimization
optimization
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Nickolas Vlahopoulos
University of Michigan United States of America
optimization algorithms
computational methods
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