Semidefinite Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
constrained optimization
nonlinear optimization
distributed optimization
derivative-free optimization
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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
computational optimization
process optimization
hybrid optimization algorithms
meta-modeling optimization
evolutionary multi-objective optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
constrained optimization
nonlinear optimization
optimization algorithms
distributed optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial 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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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
nonlinear optimization
combinatorial optimization
convex optimization
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Michael Patriksson
Chalmers University of Technology Sweden
nonlinear optimization
combinatorial optimization
non-differentiable optimization
convex optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
control optimization
numerical optimization methods
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John Chinneck
Carleton University Canada
optimization
nonlinear optimization
feasibility optimization
mixed integer optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
continuous optimization
convex optimization
derivative-free optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
distributed optimization
non-convex optimization
convex optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
section optimization
topology optimization
form optimization
adaptive optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
non-convex optimization
convex optimization
robust stochastic optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
non-convex optimization
optimization theory
low-rank optimization
conic optimization
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Shengding Sun
London School of Economics United Kingdom
semidefinite optimization
polynomial optimization
combinatorial optimization
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Sven Polak
Tilburg University Netherlands
polynomial semidefinite optimization
optimization
combinatorial optimization
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Renato Monteiro
Georgia Institute of Technology United States of America
semidefinite programming
computational optimization
continuous optimization
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Alemseged Weldeyesus
University of Edinburgh United Kingdom
semidefinite programming
large-scale optimization
structural optimization
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Sander Gribling
Tilburg University Netherlands
semidefinite programming
polynomial optimization
convex optimization
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Lijun Ding
University of California, San Diego United States of America
semidefinite programming
continuous optimization
optimization statistics
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