On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

IPOPT combines an interior-point barrier method with a filter-based line search, eliminating the need for a merit function penalty parameter. The filter mechanism accepts steps that improve either feasibility or optimality, providing robust global convergence. Rigorous convergence proofs are provided for this combined approach under standard regularity.