Approximate Dynamic Programming Professors in Global

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Fabian Bastin
University of Montreal Canada
mathematical programming
stochastic programming
nonlinear programming
computer simulation
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Renato Monteiro
Georgia Institute of Technology United States of America
nonlinear programming
semidefinite programming
linear programming
convex programming
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Andre Cire
University of Toronto Canada
dynamic programming
mathematical programming
discrete optimization
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Pierre Schaus
UCLouvain Belgium
dynamic programming
constraint programming
discrete optimization
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Katerina Papadaki
London School of Economics and Political Science United Kingdom
dynamic programming
dynamic resource allocation
discrete optimization
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Zachary Friggstad
University of Alberta Canada
approximation algorithms
mathematical programming
discrete optimization
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Walter Binder
University of Lugano Switzerland
dynamic program analysis
aspect-oriented programming
concurrent parallel programming
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Ilan Adler
University of California, Berkeley United States of America
mathematical programming
linear programming
convex programming
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Alemseged Weldeyesus
University of Edinburgh United Kingdom
nonlinear programming
semidefinite programming
linear programming
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John Reppy
University of Chicago United States of America
parallel programming
concurrent programming
functional programming
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Zhongwei Shen
University of Alberta Canada
data-driven dynamical systems
stochastic dynamics
dynamical systems
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Christiane Barz
University of Zurich Switzerland
approximate dynamic programming
dynamic programming
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Merve Bodur
University of Edinburgh United Kingdom
dynamic programming
stochastic programming
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Tom Rainforth
University of Oxford United Kingdom
approximate inference
probabilistic programming
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
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Emir Demirović
Delft University of Technology Netherlands
dynamic programming
programming
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James Nichols
Australian National University Australia
approximation
high dimensional approximation theory
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Weijun Xie
Georgia Institute of Technology United States of America
approximation algorithms
stochastic programming
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Armin Iske
University of Hamburg Germany
numerical approximation
kernel-based approximation methods
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Prasad Raghavendra
University of California, Berkeley United States of America
approximation algorithms
semidefinite programming
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Clemens Thielen
Technical University of Munich Germany
approximation algorithms
discrete optimization
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