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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.
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