Approximate Lagrange multiplier convergence for secant-function-augmented SOPICs
Approximate Lagrange multiplier convergence for secant-function-augmented SOPICs
Let be the -th scalar-only path inequality constraint (SOPIC), let be its Lagrange multiplier, let be the equivalent rescaling of the constraint, and let be the secant-penalty weight. The approximate multiplier is defined by
Approximate multiplier convergence conjecture. Under the direct-adjoining and secant-function-augmentation formulations, approaches as :
The approximation is motivated by equating the corresponding Hamiltonians and is intended to satisfy the complementarity slackness conditions. The paper reports only empirical verification, using DIDO solutions to retrieve ; no rigorous equivalence or convergence proof is provided, so the conjecture remains open.
Sources & referencesView supporting material
Primary source
Nicholas P. Nurre and Ehsan Taheri, “Constrained Fuel and Time Optimal 6DOF Powered Descent Guidance Using Indirect Optimization”, arXiv:2501.14173 (2025).
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