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The cost functions may be the same or different among firms.
The edge costs are defined based on a cost function.
In fact, it might even be possible to construct separate cost functions.
All these methods work by finding the biggest or smallest answer to a cost function.
This depends on the cost function and the model.
Ultimately, the cost function will depend on the desired task.
Therefore, the players maximize the mathematical expectancy of the cost function.
The average fixed cost function continuously declines as production increases.
Normally the cost functions are treated as common knowledge.
Additional terms in the training cost function can easily perform regularization of the final model.
The transformation that gives the minimal cost function is chosen as the model for head motion.
For instance, cost function or the set in which the solution is sought can be not convex.
At the long end, a regression technique with a cost function that values smoothness might be used.
Often this cost function includes some form of regularization.
The cost function would correspond to the number of blocked nearby base station sites.
The cost function can be much more complicated.
In this case it is symmetrical to firm 1's as they have the same cost function.
Answer guide: Independent variables in the context of cost functions are normally activities that drive costs.
The cost function of the optimization problem determines the power of each country.
The following simple example illustrates the importance of the cost function in determining the optimal transport plan.
Suppose also that there is some cost function .
In the textbook theory of the firm, the cost function is drawn assuming both technical and economic efficiency.
For each feature a cost function is defined.
Assuming that factor prices are constant, the production function determines all cost functions.
This definition of SP-1 uses the hop count as the cost function.