Linear Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
multi-objective 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
optimization algorithms
nonlinear optimization
stochastic optimization
distributed optimization
constrained optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
nonlinear optimization
stochastic optimization
distributed optimization
constrained optimization
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Cynthia Vinzant
University of Washington United States of America
linear optimization
mathematical optimization
combinatorial optimization
discrete 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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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
integer optimization
polynomial optimization
robust optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
nonlinear optimization
combinatorial optimization
convex optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
power system optimization
global optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
multi-objective optimization
control optimization
numerical optimization methods
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
inverse optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
distributed optimization
convex optimization
non-convex optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
convex optimization
non-convex optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
large-scale optimization
first-order optimization algorithms
convex optimization
non-convex optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
optimization theory
low-rank optimization
conic optimization
non-convex optimization
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Julian Hall
University of Edinburgh United Kingdom
optimization
computational optimization
linear programming
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Renato Monteiro
Georgia Institute of Technology United States of America
computational optimization
linear programming
continuous optimization
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Jeya Jeyakumar
University of New South Wales Australia
mathematical optimization
nonlinear optimization
robust optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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