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Zhao Song: Faster Optimization: From Linear Programming to Semidefinite Programming
Interior Point Method for Optimization
JuMP-dev 2018 | A semidefinite programming solver written in Julia | Joaquim Dias Garcia
3.3 Optimization Methods - The Interior Point Method
Quantum speed-ups for semidefinite programming
Semidefinite programming hierarchies for packing and energy minimization (Part 3) - David de Laat
Lower bounds on the size of semidefinite programming relaxations (1)
Interior-point Conic Optimization with Clarabel.jl | Paul Goulart | JuliaCon 2022
Hamza Fawzi's talk: Matrix convexity and semidefinite programming
Low-rank in Semidefinite Programming (SDP)
Interior Point Methods 4
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Last Updated: October 17, 2026
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Summary
Haotian Jiang (UW); Tarun Kathuria (UC Berkeley); Yin Tat Lee (UW); Swati Padmanabhan (UW); Zhao Song (Princeton, IAS) Dávid Papp (North Carolina State University) ... A backup copy of a video that a student of mine, Youtube username sjbaran , made as a class project in 2010. That original video ... CMU Theory Lunch talk from February 10, 2021 by Zhao Song: by Fernando Brandão, Bren Professor of Theoretical Physics, CalTech. Speaker: James R. Lee, University of Washington, USA This is the first of a four-part lecture series delivered at the National ... The talk will introduce Clarabel.jl, a conic convex Recording of the talk given on 9 November 2021 by Hamza Fawzi in Zoom at Optimisation and Numerical Analysis Seminar ... Outline of a new heuristic for the low-rank SDP problem. Steve Wright, University of Wisconsin-Madison; Aaron Sidford, Stanford University; and Aleksander Mądry, MIT ...
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