Continuous And Discrete Optimization Professors in Global

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Professor

Albert Berahas

University of Michigan United States of America

stochastic optimization

distributed optimization

nonlinear optimization

constrained optimization

machine learning optimization

derivative-free optimization

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Professor

Vijaya Raghavendra Bollapragada

University of Texas at Austin United States of America

stochastic optimization

distributed optimization

nonlinear optimization

optimization algorithms

constrained optimization

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Professor

Kalyanmoy Deb

Michigan State University United States of America

computational optimization

multi-objective optimization

process optimization

hybrid optimization algorithms

evolutionary multi-objective optimization

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Professor

Cynthia Vinzant

University of Washington United States of America

discrete optimization

mathematical optimization

linear optimization

combinatorial optimization

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Professor

Katya Scheinberg

Georgia Institute of Technology United States of America

continuous optimization

derivative-free optimization

convex optimization

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Professor

Eric Kerrigan

Imperial College London United Kingdom

dynamic optimization

multi-objective optimization

control optimization

numerical optimization methods

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Professor

Bartolomeo Stellato

Princeton University United States of America

mathematical optimization

differentiable optimization

large scale optimization

real-time embedded optimization

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Professor

Dick Den Hertog

University of Amsterdam Netherlands

linear optimization

nonlinear optimization

robust optimization

optimization in machine learning

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Professor

Gregory Sorkin

London School of Economics and Political Science United Kingdom

randomized optimization

discrete mathematics

discrete random systems

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Professor

Michael Patriksson

University of Gothenburg Sweden

mathematical optimization

nonlinear optimization

combinatorial optimization

convex optimization

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Professor

Michael Patriksson

Chalmers University of Technology Sweden

non-differentiable optimization

nonlinear optimization

combinatorial optimization

convex optimization

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Professor

Sven Polak

Tilburg University Netherlands

discrete mathematics

combinatorial optimization

polynomial semidefinite optimization

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Professor

Mehrdad Mahdavi

Pennsylvania State University United States of America

distributed optimization

large-scale optimization

non-convex optimization

convex optimization

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Professor

Merve Bodur

University of Edinburgh United Kingdom

robust optimization

multiobjective optimization

combinatorial optimization

inverse optimization

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Professor

Yaoliang Yu

University of Waterloo Canada

optimization algorithms

robust stochastic optimization

non-convex optimization

convex optimization

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Professor

Yinyu Ye

Stanford University United States of America

continuous optimization

discrete optimization

dynamic optimization

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Professor

Chuan He

Linköping University Sweden

continuous optimization

decentralized optimization

large-scale optimization

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Professor

Ruiwei Jiang

University of Michigan United States of America

discrete optimization

stochastic optimization

data-enabled stochastic optimization

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Professor

Arkadi Nemirovski

Georgia Institute of Technology United States of America

continuous optimization

stochastic optimization

optimization theory

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Professor

Marina Epelman

University of Michigan United States of America

discrete optimization

mathematical optimization

optimization under uncertainty

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Professor

Danial Davarnia

Purdue University United States of America

discrete optimization

network optimization

global optimization

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