Examples of using Objective function in English and their translations into Portuguese
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Official
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Colloquial
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Step 7: Note that the value of λ is equal to the partial derivative of the objective function with respect to the size of the constraint.
When the objective function is convex,
because two companies of the same type have the same'objective function.
are susceptible to local minima in the objective function.
operating policy choices on an objective function of the form.
The factor that maximizes the objective function in the one case cannot necessarily be said to maximize the objective function in the other.
with the variance of the optimization objective function for multi-objective optimization.
To avoid excessive computational cost with numerical routines was used approaches in the form of finite difference of the terms that make up the objective function.
During the maximization process of the objective function, the process simulator is called repeatedly until it obtains an optimal value of it.
The cost objective function of this problem can be defined in many different ways,
The response surface method and objective function were used in order to determine the optimum conditions for the osmotic dehydration of cupuaçu and jackfruit.
its results are compared with the economic objective function, showing that the first can generate significant financial losses in the operation.
The problem was designed with eleven constraints and the objective function to minimize the total costs.
Linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints.
A new single objective function is formulated eliminating the need for assigning appropriate weights to the parameters.
In this work, a quadratic integral objective function was minimized by using dynamic sequential techniques for solving optimization.
So there is no optimal concrete value. If the values of the variables grow, the objective function value also grows without violates any restriction.
The former consists in creating an objective function that generates the scheduling tasks to be performed by the radar system.
The objective function is to maximize the sum of the weighted performed tasks in a day, based on the priority of tasks.
Linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints.