Examples of using Objective function in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Linearity of relations: A primary requirement of linear programming is that the objective function and every constraint must be linear.
This is true even if the objective function is parallel to one of the constraints.
an infinite edge on which the objective function is unbounded above.
Optimization includes finding"best available" values of some objective function given a defined domain,
Additionally mining, this optimization technique is utilized to mineral extraction in which the objective function consists of reducing the total price of mining based on constraint parameters.
This iteration is based on minimizing an objective function that represents the distance from any given data point to a cluster center weighted by that data point's membership grade.
(3)The brightness or light intensity of a firefly is determined by the value of the objective function of a given problem.
The authors have shown that polaritons arrange themselves in a configuration that corresponds to the absolute minimum of the objective function.
That minimizes(or minimize) the objective function x2+ 1(the actual minimum value of that function is not what the problem asks for).
risk, etc.) of some objective function.
An optimal solution is a feasible solution that has the most favorable value of the objective function.
In contrast, active adaptive management explicitly incorporates learning as part of the objective function, and hence, decisions which improve learning are valued over those which do not(Holling 1978; Walters 1986).
More generally, optimization includes finding“best available” values of some objective function given a defined domain,
where some of the constraints or the objective function is nonlinear….
More generally, optimization includes finding“best available” values of some objective function given a defined domain(or a set of constraints),
More generally, it means finding the“best available” values of some objective function given a defined domain,
moreover since we jump between vertices always in the same direction(that of the objective function), we hope that the number of vertices visited will be small.
More generally, optimization includes finding the“best available” values of some objective function given a defined domain(or input),
This represents the value(or values) of the argument x in the interval-∞,- 1 that minimizes(or minimize) the objective function x2+ 1(the actual minimum value of that function is not what the problem asks for).
Generally optimization includes finding“best available” values of some objective function given a defined domain(or input),