3 docs tagged with "advanced"

Register custom elementary functions in Gradgen with Python callbacks, Jacobians, Hessians, and Rust code generation support.

Coming soon: use the forward-backward envelope for optimal control problems in Gradgen.

Define squared distance-to-set functions in Gradgen using projections, common convex sets, and symbolic composition.