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This makes the approach more suitable for stochastic optimization and for functions subject to numerical error.
This work studies multiobjective optimization (MOP) of nonsmooth functions subject to general constraints.
where, is a linear densely defined operator of sectorial type, and are functions subject to some additional conditions.
Harmonic extension algorithm is the simplest tool for constructing harmonic functions subject to boundary value problems on SG n.
A generalization of the contraction principle in metric spaces by using continuous nondecreasing functions subject to an inequality-type constraint has been performed in [2].
The objective function is related to the maximization of the consumers' objective functions (utility functions) subject to constraints reflecting consumer income limitations.
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A simple problem in linear programming is one in which it is necessary to find the maximum (or minimum) value of a simple function subject to certain constraints.
In a 1939 book, The Mathematical Method of Production Planning and Organization, he showed that all problems of economic allocation can be reduced to maximizing a function subject to constraints.
where f ( x ) is the objective function subject to maximization.
The phase response function is a continuous and monotonically increasing function subject to the constraints (2).
Linear programming computes the weights that maximize an objective function subject to the constraints identified.
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