Pde Constrained Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
distributed optimization
stochastic optimization
optimization algorithms
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
distributed optimization
stochastic optimization
machine learning optimization
nonlinear optimization
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Pierre Flener
Uppsala University Sweden
constraint programming
discrete optimization
constraint solving
constraint modeling
combinatorial optimization
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Michael Patriksson
Chalmers University of Technology Sweden
convex optimization
combinatorial optimization
nonlinear optimization
non-differentiable optimization
equilibrium constraints
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
multi-objective optimization
meta-modeling optimization
hybrid optimization algorithms
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Maria Rodriguez
Uppsala University Sweden
constraint programming
discrete optimization
constraint modelling
combinatorial 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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Cynthia Vinzant
University of Washington United States of America
discrete optimization
mathematical optimization
combinatorial optimization
linear optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
convex optimization
non-convex optimization
large-scale optimization
first-order optimization algorithms
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
stochastic optimization
robust optimization
integer optimization
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Yaoliang Yu
University of Waterloo Canada
convex optimization
non-convex optimization
optimization algorithms
robust stochastic optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
real-time embedded optimization
differentiable optimization
large scale optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
nonlinear optimization
robust optimization
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John Chinneck
Carleton University Canada
optimization
nonlinear optimization
mixed integer optimization
feasibility optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
inverse optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
control optimization
multi-objective optimization
numerical optimization methods
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Reem Khir
Purdue University United States of America
constrained optimization
optimization
robust stochastic optimization
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Mark Daskin
University of Michigan United States of America
discrete optimization
mathematical optimization
integer optimization
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Marina Epelman
University of Michigan United States of America
discrete optimization
mathematical optimization
integer optimization
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Hélène Verhaeghe
UCLouvain Belgium
constraint programming
combinatorial optimization
table constraints
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