Computational Complexity In Nonlinear Optimization Professors in Global

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Florica-corina Cirstea
University of Sydney Australia
nonlinear analysis
nonlinear partial differential equations
chaotic behavior in nonlinear systems
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Niclas Börlin
Umeå University Sweden
non-linear algorithms
non-linear estimation
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Jérôme Vétois
McGill University Canada
nonlinear analysis
nonlinear partial differential equations
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Jun-cheng Wei
University of British Columbia Canada
nonlinear analysis
nonlinear partial differential equations
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Norman Dancer
University of Sydney Australia
nonlinear analysis
application of nonlinear ordinary partial differential equations
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Johan Håstad
KTH Royal Institute of Technology Sweden
algorithm complexity
complexity theory
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Eric Samperton
Purdue University United States of America
complexity algorithms
quantum computation
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John Dolbow
Duke University Singapore
nonlinear problems
computational methods
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Mark Wilde
Cornell University Netherlands
quantum computational complexity theory
quantum computation
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Christian Fager
Chalmers University of Technology Sweden
nonlinear distortion analysis
nonlinear transistor modeling
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David Muraki
Simon Fraser University Canada
numerical computation
nonlinear partial differential equations
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Tjark Vredeveld
Maastricht University Netherlands
complexity design
discrete optimization
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Randy Freeman
Northwestern University United States of America
nonlinear system theory
nonlinear control theory
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Fernando Brandao
California Institute of Technology United States of America
complexity theory
quantum hamiltonian complexity
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Ram Achar
Carleton University Canada
nonlinear circuit analysis
simulation optimization
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William Fefferman
University of Chicago United States of America
complexity
quantum computation
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Ryan O'donnell
Carnegie Mellon University United States of America
complexity
quantum computation
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University of Hamburg Germany
complexity
computational geometry
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Shubhangi Saraf
University of Toronto Canada
complexity theory
algebraic computation
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Varun Kanade
University of Oxford United Kingdom
complexity theory
computational learning
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Leslie Valiant
Harvard University United States of America
neural computation
complexity theory
computational learning
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