Mathematical Programming

Mathematical Programming

Faculty Research Interests

combinatorial optimization and integer programming, computational modeling of power grids

algorithms for linear, quadratic, semidefinite, convex and general nonlinear programming, network flows, large sparse systems, and applications in robust optimization, finance, and imaging

integer programming, combinatorial optimization, extension complexity, polyhedral combinatorics


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