Examples of 'cost function' in a sentence

Meaning of "cost function"

cost function - This phrase is commonly used in mathematics, economics, and optimization to describe a mathematical function that represents the cost or objective to be minimized or maximized. It is used to measure and analyze the relationship between inputs and outputs in terms of costs
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  • Any mathematical relationship between an activity and its cost.

How to use "cost function" in a sentence

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cost function
Cost function estimation and regulatory regimes.
We have the cost function right here.
Our objective is to minimize the cost function.
Popular cost function in decision tree learning.
Technical progress and the cost function.
The cost function is additive over time.
This will be called the cost function.
Three cost function enhancements are also presented.
Show that the marginal cost function.
The cost function and gradient descent.
Computations produce a scalar cost function as a result.
Cost function used to calculate optimal sample size.
They only optimize a specific cost function.
The cost function can be much more complicated.
Thus the construction cost function can be written.

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The cost function is then calculated.
Further details of the cost function are provided below.
A cost function representing a number of links is therefore used.
Evaluates the cost function at points.
The edge costs are defined based on a cost function.
The quadratic cost function to be minimized is.
We do this by minimizing the cost function.
Third cost function concerns the bundles of links.
Thus minimizing that cost function j.
The cost function is a quadratic one.
We are trying to minimize this cost function.
The average cost function is given by.
The controller gains are determined by minimizing a cost function.
The slope of the variable cost function is marginal cost.
This is done by adding a regularization term to the cost function.
Often this cost function includes some form of regularization.
It does not yield the cost function.
For a neural network our cost function is going to be a generalization of this.
Is the same as the slope of the cost function.
Here is the cost function j of theta that we have for.
Where is the inverse of the marginal cost function.
This quadratic cost function provides a simple synthesis method.
Most appealing appears to be an optimal cost function regulator.
A cost function may be the quadratic sum of these norms.
The network is trained by minimizing this cost function.
If the cost function is quadratic.
The optimizing can be performed using a cost function.
Marginal cost function is a derivative of the total cost function.
In order to calculate MCj the cost function must be parameterized.
A first cost function is calculated from this initial configuration.
To understand the cost function.
Fourth cost function also concerns the bundles of links.
Suppose each subset has its own cost function.
We call this value the cost function or objective function.
A cost function value is associated with each resource request.

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He could not function any other way
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