Global Discrete Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
distributed optimization
stochastic optimization
derivative-free optimization
machine learning optimization
constrained optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
distributed optimization
stochastic optimization
optimization algorithms
constrained optimization
nonlinear optimization
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Cynthia Vinzant
University of Washington United States of America
discrete optimization
mathematical optimization
linear optimization
combinatorial optimization
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Gregory Sorkin
London School of Economics and Political Science United Kingdom
discrete mathematics
optimization
randomized optimization
discrete random systems
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
optimization models
robust optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
robust optimization
polynomial optimization
integer optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
combinatorial optimization
robust optimization
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
combinatorial optimization
robust optimization
inverse optimization
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Danial Davarnia
Purdue University United States of America
discrete optimization
global optimization
network optimization
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Yinyu Ye
Stanford University United States of America
discrete optimization
dynamic optimization
continuous optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
distributed optimization
stochastic optimization
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Marina Epelman
University of Michigan United States of America
discrete optimization
mathematical optimization
integer optimization
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Mark Daskin
University of Michigan United States of America
discrete optimization
mathematical optimization
integer optimization
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Bistra Dilkina
University of Southern California United States of America
discrete optimization
stochastic optimization
combinatorial optimization
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Bartolomeo Stellato
Princeton University United States of America
differentiable optimization
mathematical optimization
large scale optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
optimization
stochastic optimization
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John Jørgensen
Technical University of Denmark Denmark
dynamic optimization
numerical optimization
process optimization
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Yan Li
Texas A&M University United States of America
dynamic optimization
stochastic optimization
robust optimization
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Xu Zhou
Imperial College London United Kingdom
distributed optimization
stochastic optimization
robust optimization
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Rose Mccarty
Georgia Institute of Technology United States of America
discrete mathematics
discrete geometry
combinatorial 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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