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- W1993421380 abstract "The article describes a procedure to maximize a strictly concave quadratic function subject to linear constraints in the form of inequalities. First the unconstrained maximum is considered; when certain constraints are violated, maximization takes place subject to each of these in equational (rather than inequality) form. The constraints which are then violated are added in a similar way to the constraints already imposed. It is shown that under certain general conditions this procedure leads to the required optimum in a finite number of steps. The procedure is illustrated by an example while also a directory of computations is given." @default.
- W1993421380 created "2016-06-24" @default.
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- W1993421380 date "1992-01-01" @default.
- W1993421380 modified "2023-09-25" @default.
- W1993421380 title "Quadratic Programming as an Extension of Classical Quadratic Maximization" @default.
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- W1993421380 doi "https://doi.org/10.1007/978-94-011-2410-2_11" @default.
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