Conic interior-point solver for LP, SOCP, and SDP in pure Julia
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Updated
Sep 8, 2026 - Julia
Conic interior-point solver for LP, SOCP, and SDP in pure Julia
An unofficial C++ interface for the nonlinear programming solver Artelys Knitro
A from-scratch branch-and-cut MIP solver in C++23 with Python bindings (early development)
A practice implementation of Newton’s method for local convergence and optimization, covering both univariate and multivariate cases; extending the first and second derivatives in the 1D case to the Jacobian matrix (gradient vector) for finding roots and the Hessian matrix for finding extrema, respectively, in the multivariate case.
Variable aggregation (reduced-space presolve) for nonlinear optimization — a discopt plugin implementing Naik et al. (arXiv:2502.13869).
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