Integer Linear Programming Professors in Global

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John Reppy
University of Chicago United States of America
parallel programming
concurrent programming
object-oriented programming
programming languages
functional programming
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Merve Bodur
University of Edinburgh United Kingdom
integer programming
stochastic programming
machine learning
dynamic programming
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Merve Bodur
University of Edinburgh United Kingdom
integer programming
stochastic programming
machine learning
dynamic programming
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Andrea Lodi
Cornell University Netherlands
linear programming
mixed-integer programming
nonlinear programming
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Birgit Schwartz-reinken
University of Hamburg Germany
linear programming
mixed integer programming
parallel algorithms
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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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Weijun Xie
Georgia Institute of Technology United States of America
integer programming
stochastic programming
machine learning
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Fabian Bastin
University of Montreal Canada
nonlinear programming
mathematical programming
stochastic programming
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Nan Kong
Purdue University United States of America
stochastic integer programming
computational modeling
computational image processing
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Nan Kong
Purdue University United States of America
stochastic integer programming
computational modeling
computational image processing
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Martin Andersen
Technical University of Denmark Denmark
mathematical programming
stochastic programming
machine learning
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Fabricio Oliveira
Technical University of Denmark Denmark
mathematical programming
stochastic programming
machine learning
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
machine learning
nonlinear optimization
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Tony Lindgren
Stockholm University Sweden
logic programming
constraint programming
machine learning
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Jörg Liesen
Technical University of Berlin Germany
numerical linear algebra
large linear systems
numerical solutions of linear algebraic problems
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Peter Stuckey
Monash University Australia
logic programming
constraint programming
programming languages
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Fabrizio Montesi
University of Southern Denmark Denmark
linear logic
programming languages
choreographic programming
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Pierre Schaus
UCLouvain Belgium
constraint programming
machine learning algorithms
dynamic programming
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Luke Miller
Radboud University Netherlands
neural computations
machine learning
computational modeling
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Mogana Ganggayah
Monash University Australia
python programming
machine learning
r programming
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