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Parallelism in Linear and Mixed Integer Programming
Marc Pfetsch - Solving Mixed-Integer SDPs
Marc Pfetsch - Presolving for Mixed-Integer Semidefinite Optimization
Mixed Integer Convex Optimization
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Last Updated: September 26, 2026
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This video describes research being conducted in the Optimator Lab at the University at Buffalo. Specifically, we have developed ... Learn why mathematical optimization should be known to every data scientist. In this episode, speaks to Jerry ... Paper link: groups.csail.mit.edu/robotics-center/public_papers/Dai17.pdf In this paper we present a novel formulation of the ... For full course details: motraim.com/course-description. For course materials: motraim.com/shop. Ambros Gleixner (Zuse Institute Berlin and HTW Berlin) simons.berkeley.edu/talks/exact-mip-solving Beyond Satisfiability. Part of MIP2020 online workshop: sites.google.com/view/mipworkshop2020/home Poster Session 2: Machine Learning. Most Pythonistas these days are fairly aware of what Machine Learning can do for them. Even if you don't use it in the day-job, you ... Ed Rothberg, Gurobi Optimization Parallel and Distributed Algorithms for Inference and Optimization ... Part of CO co-at-work.zib.de/ SCIP-SDP: opt.tu-darmstadt.de/scipsdp/ Join our Zoom Q&A on ... Part of Discrete Optimization Talks: talks.discreteopt.com Marc Pfetsch - Technische Universität Darmstadt Presolving for ...
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