Pde Constrained Optimisation Problems Professors in Global

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Pierre Flener
Uppsala University Sweden
constraint solving
constraint programming
constraint modeling
discrete optimization
combinatorial optimization
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Maria Rodriguez
Uppsala University Sweden
constraint programming
constraint modelling
discrete optimization
problem modelling
combinatorial optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
distributed optimization
stochastic optimization
machine learning optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
distributed optimization
optimization algorithms
stochastic optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
convex optimization
non-convex optimization
large-scale optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
convex optimization
first-order optimization algorithms
non-convex optimization
large-scale optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
hybrid optimization algorithms
meta-modeling optimization
process optimization
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John Pearson
University of Edinburgh United Kingdom
pde-constrained optimization
time-dependent pde-constrained optimization
optimal control problems
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Mark Wallace
Monash University Australia
constraint programming
problem modelling
optimization
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Jip Dekker
Monash University Australia
constraint programming
problem modelling
optimization
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Hélène Verhaeghe
UCLouvain Belgium
constraint programming
table constraints
combinatorial optimization
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Sander Gribling
Tilburg University Netherlands
classical optimization problems
polynomial optimization
convex optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
discrete optimization
combinatorial optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
convex optimization
non-convex optimization
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Manuel Lopez-ibanez
University of Manchester United Kingdom
combinatorial optimisation
optimisation
multi-objective optimisation
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
convex optimization
non-convex optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
stochastic optimization
optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
convex optimization
optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
convex optimization
optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
convex optimization
optimization
combinatorial optimization
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