Examples of using Objective function in English and their translations into Indonesian
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The objective function becomes.
They're maximizing some objective function.
Objective function to minimize is.
This is called as the objective function.
The objective function then becomes.
They're maximizing some objective function.
The objective function to be minimized is.
Find the global minimum of the objective function.
Objective function: what we want to maximize(or minimize).
Changing a coefficient in the objective function.
Calculate the objective function for each value of point.
This functionality is often called the objective function.
The objective function is the one whose value we would like to optimize.
We refer to this property as the objective function of an LP problem.
State the objective function as a linear combination of the decision variables.
The right hand side of the primal become the objective function of the dual.
Circumstances where the objective function is more important than the constraints.
Whatever we're maximizing or minimizing is called the objective function.
Asks for the maximum value of the objective function 2x, where x may be any real number.
These functions which are to be maximized or minimized are called objective function.
This is true even if the objective function is parallel to one of the constraints.
Like the K-Means algorithm, the Fuzzy C-Means(FCM) aims to minimize an objective function.
This denotes the minimum value of the objective function, when choosing x from the set of real numbers.
The possible results from phase ii are either an optimum basic feasible solution oran infinite edge on which the objective function is unbounded above.
Therefore, the objective function is to maximize the net benefit of risk mitigation strategies.
Linearity of relations:A primary requirement of linear programming is that the objective function and every constraint must be linear.
Objective Function:“A mathematical expression in linear programming that maximizes or minimizes some quantity(often profit or cost, but any goal may be used)”.
In the case of a linear program(LP) the objective function and constraints are all linear functions of the decision variables.
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.