SOURCE-LINKED INTELLIGENCE

Generation of Custom Solvers in Rust for Convex Optimization

arXiv · AI, language, vision and robotics · article · Sep 12, 2026 · UTC

We introduce cvxgenrust, an open-source tool for generating custom Rust code that solves families of parameterized convex optimization problems modeled in CVXPY. cvxgenrust canonicalizes a problem family, extracts affine maps to Clarabel cone-program data, and generates a specialized Rust crate that updates parameters and calls Clarabel natively at runtime. The generated solver can also be exposed to Python and registered as a custom CVXPY solver. Our code generator supports a wide range of convex optimization problems up to semidefinite programs and exponential-cone problems. Numerical experi

Read original source ↗ Open in workspace

recordType

paper

region

Global