sip_qp
sip_qp is a quadratic-programming front-end to
SIP. It equilibrates affine QPs, applies
QP-oriented solver defaults, and uses
SIP-QDLDL for sparse Newton-KKT
solves.
Both dynamically allocated and caller-provided workspaces are supported. The
solve path performs no dynamic memory allocation when Workspace::mem_assign
is used; this property is covered by an allocation-guarded test.
The C++ API represents
minimize objective_constant + q' x + 0.5 x' P x
subject to A x + equality_offsets = 0
G x + inequality_offsets <= 0
lower_bounds <= x <= upper_bounds.
P is supplied by its upper triangle. Constraint Jacobians are supplied
transposed, as expected by SIP-QDLDL. Bound arrays are always present; infinite
entries represent missing sides.
Input requires an inverse KKT permutation and its symbolic factor capacity.
Callers may provide both directly. analyze_kkt_ordering validates a
caller-defined inverse permutation and computes its factor capacity. Ordering
policy remains entirely outside this library.
The sip_qp_python package exposes the same implementation through Solver
and solve_qp. Python callers must pass kkt_inverse_permutation. Variable
bounds remain native SIP bounds and are reported separately through
Result.z_box.
1 maintainer
Metadata
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Release files for sip-qp-python 0.0.2
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