Dividend Optimization Professors in Global

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Michael Patriksson
Chalmers University of Technology Sweden
non-differentiable optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
form optimization
adaptive optimization
section optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
inverse optimization
multiobjective optimization
combinatorial optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
inverse optimization
multiobjective optimization
combinatorial optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
continuous optimization
derivative-free optimization
convex optimization
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
mixed integer optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
distributed optimization
machine learning optimization
stochastic optimization
derivative-free optimization
constrained optimization
nonlinear optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Elkafi Hassini
McMaster University Canada
big data optimization
data-driven optimization
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Lijun Ding
University of California, San Diego United States of America
optimization statistics
continuous optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
numerical optimization methods
control optimization
multi-objective optimization
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Twan Dollevoet
Erasmus University Rotterdam Netherlands
railway optimization
combinatorial optimization
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Kai Huang
McMaster University Canada
data-driven optimization
optimization under uncertainty
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Rudolf Müller
Maastricht University Netherlands
algorithmic optimization
combinatorial optimization
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Thomas Stidsen
Technical University of Denmark Denmark
telecommunication optimization
optimization using decomposition
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Joshua Pulsipher
University of Waterloo Canada
optimization under uncertainty
infinite-dimensional optimization
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Malcolm Low
Singapore Institute of Technology Singapore
multi-objectives optimization
combinatorial optimization
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Can Li
Purdue University United States of America
discrete global optimization
large-scale optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
discrete optimization
supply chain optimization
continuous optimization
energy systems optimization
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Brad Calder
University of California, San Diego United States of America
dynamic compilation optimization
compiler optimizations
value-based optimization
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Houra Mahmoudzadeh
University of Waterloo Canada
robust optimization
inverse optimization
large-scale optimization
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