A parallelized, arbitrary precision semidefinite program solver based on the primal-dual interior-point method.
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Updated
Feb 3, 2024 - Julia
A parallelized, arbitrary precision semidefinite program solver based on the primal-dual interior-point method.
A custom branch-and-bound algorithm for solving low-rank matrix completion to certifiable optimality
Reformulation of SDPs using block factor-width two matrices
Implementation of the Homotopy method for convex optimization problems introduced in https://arxiv.org/abs/2403.02095.
Implementation of an interior-point algorithm for linear and semidefinite optimization
Parser for CVXR to solve the Gaussian MLE problem with added constraints.
Julia implementation of the Augmented Mixing Method for semidefinite programs (SDPs)
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