Description
Solves conic optimization problems, especially second-order cone programs, with a lightweight numerical solver. It is used in control, finance, machine learning, and scientific computing workflows.
Use it when your model fits the supported conic problem classes. Numerical solvers require careful scaling and validation of results before decisions depend on them.