A superlinearly convergent feasible method for the solution of inequality constrained optimization problems

When iteratively solving optimization problems arising from engineering design applications, it is sometimes crucial that all iterates satisfy a given set of "hard" inequality constraints, and generally desirable that the objective function value improve at each iteration. In this paper, w...

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Veröffentlicht in:	SIAM journal on control and optimization 1987-07, Vol.25 (4), p.934-950
Hauptverfasser:	PANIER, E. R, TITS, A. L
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Design Design engineering Exact sciences and technology Mathematical programming Operational research and scientific management Operational research. Management science Optimization algorithms Quadratic programming
Online-Zugang:	Volltext
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