interior point conic optimization
Python bindings for Clarabel.rs Clarabel.rs is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding. Clarabel.rs solves linear programs, quadratic programs, second-order cone programs and semidefinite programs. It also solves problems with exponential, power cone and generalized power cone constraints. Unlike interior point solvers based on the standard homogeneous self-dual embedding (HDSE), Clarabel.rs handles quadratic objectives without requiring any epigraphical reformulation of the objective. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using a homogeneous embedding technique.
Homepage: https://clarabel.org/v0.11.1/