omnibias.convex.torch
Differentiable LP and QP solver paths, barrier methods, KKT sensitivities, and scoped optimality evidence.
import omnibias.convex.torchModule contract & mathematical conventions
Torch backend for omnibias-convex.
Shared formulas do not imply universal floating-point identity. Verify dtype, shape, derivative-order support, and the stated numerical assumptions for the path you use.
Imports & aliases
These names share a definition with another public module. Follow a name for its full contract, parameters, and examples.
| Import from this module | Canonical reference |
|---|---|
InfeasibleProblemError | omnibias.convex.torch.InfeasibleProblemError |
lp_layer | omnibias.convex.torch.lp_layer |
penalty_descent | omnibias.convex.torch.penalty_descent |
penalty_gradient | omnibias.convex.torch.penalty_gradient |
qp_layer | omnibias.convex.torch.qp_layer |
solve_lp | omnibias.convex.torch.solve_lp |
solve_lp_penalty | omnibias.convex.torch.solve_lp_penalty |
solve_qp | omnibias.convex.torch.solve_qp |
solve_qp_penalty | omnibias.convex.torch.solve_qp_penalty |