Stochastic Programming Professors in Global

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John Reppy
University of Chicago United States of America
functional programming
parallel programming
concurrent programming
object-oriented programming
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Alemseged Weldeyesus
University of Edinburgh United Kingdom
linear programming
nonlinear programming
large-scale optimization
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David Criens
Albert-Ludwigs-Universität Freiburg Germany
nonlinear stochastic processes
interacting stochastic processes
stochastic partial differential equations
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Jacek Gondzio
University of Edinburgh United Kingdom
linear programming
nonlinear programming
quadratic programming
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Jacek Gondzio
University of Edinburgh United Kingdom
linear programming
nonlinear programming
quadratic programming
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Renato Monteiro
Georgia Institute of Technology United States of America
linear programming
nonlinear programming
computational optimization
convex quadratic programming
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Hal Caswell
University of Amsterdam Netherlands
stochastic processes in demography
environmental stochasticity
demographic stochasticity
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Nick Whiteley
University of Bristol United Kingdom
probabilistic modelling
high-dimensional dynamic stochastic systems
statistical inference
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Barbara Bravi
Imperial College London United Kingdom
stochastic biochemical reactions
mathematical modelling
machine learning
statistical inference
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Andrea Lodi
Cornell University Netherlands
linear programming
nonlinear programming
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Jiawei Li
University of Edinburgh United Kingdom
probabilistic stochastic methods
stochastic partial differential equations
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Julian Hall
University of Edinburgh United Kingdom
linear programming
computational optimization
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Emir Demirović
Delft University of Technology Netherlands
programming
dynamic programming
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Steve Gismondi
University of Guelph Canada
linear programming
mathematical modelling
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Vidvuds Ozolins
Yale University United States of America
statistical simulation
computational modeling
machine learning
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
probabilistic multi-scale modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
probabilistic multi-scale modeling
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Beniamin Goldys
University of Sydney Australia
stochastic fluid dynamics
stochastic partial differential equations
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Nicolas Loizou
Johns Hopkins University United States of America
large-scale optimization
randomized algorithms
machine learning
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Thorsten Koch
Technical University of Berlin Germany
linear programming
integer programming
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Stefan Weltge
Technical University of Munich Germany
linear programming
integer programming
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