
doi: 10.1007/bf01719272
A method is presented for minimizing a definite quadratic function under an infinite number of linear inequality restrictions. Special features of the method are that it generates a sequence of feasible solutions and a sequence of basic solutions simultaneously and that it has very favourable properties concerning numerical stability. Eine Methode zur Minimierung einer positiv definiten quadratischen Funktion unter unendlich vielen linearen Nebenbedingungen wird vorgestellt. Diese Methode hat die Eigenschaft, daβ eine Folge von zulassigen Losungen des Problems sowie eine Folge von Basislosungen gleichzeitig erzeugt wird. Auf diese Weise erhalt man Einschlieβungen des Zielfunktions-wertes der Losung des Problems. Zudem weist die Methode hervorragende Stabilitatseigenschaften auf.
semi-infinite quadratic programming, Numerical mathematical programming methods, numerical stability, infinite number of linear inequality restrictions, sequence of feasible solutions, Quadratic programming
semi-infinite quadratic programming, Numerical mathematical programming methods, numerical stability, infinite number of linear inequality restrictions, sequence of feasible solutions, Quadratic programming
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