Examples of using Cost function in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
To understand the cost function.
Let the cost function for the i-th firm be.
In this video we will define something called the cost function.
We have the cost function right here.
The first is the hypothesis function, andthe second is a cost function.
Thus, a translog cost function is estimated by the seemingly unrelated regression(sur) model.
Stigler first introduced the concept in 1939 as the slope in the production cost function.
And so we will implement this Path Cost function, in terms of a Step Cost function.
The cost function used in metaheuristic methods takes account the error and the control signal.
So the data which are fit like so, and there's a cost function, and that was our optimization objective.
The adaptation step of the neural gas can be interpreted as gradient descent on a cost function.
Using this simplified definition of a hypothesizing cost function let's try to understand the cost function concept better.
Models may not consistently converge on a single solution, firstly because many local minima may exist, depending on the cost function and the model.
The study measures the efficiency based on cost function based on panel data using stochastic frontier.
The cost function for each firm is of the form Ci C0i+ C1i*qi. The first order condition for a maximum profit with respect to qi is.
The cost/variance function takes into account the cost function proposed by Kish, 10 10 Kish L. Survey sampling.
Here costfunc(the cost function to be minimized by the primitive optim) evaluates f=f(x) and g= gradient of f at x ind is an integer.
All of those algorithms have an optimization objective or some cost function that the algorithm was trying to minimize.
And notice, because my cost function is a function of my parameter theta one, when I plot my cost function, the horizontal axis is now labeled with theta one.
And hopefully that will give you,an even better sense of what the cost function j is doing in the original linear regression formulation.
Using this cost function, we can write a dynamic programming algorithm to find the fastest way to concatenate a sequence of strings.
In that sense, the optimal paths are obtained by minimizing a cost function that analyzes all possible paths exhaustively.
The ordering is done by minimizing cost function, treats the proteome as a simple network and sorts it into a list using the monte carlo method to approximate associated proteins.
Exploiting those characteristics, among others, a general leastsquares cost function is posed, from which two types of gaafs are designed.
In this class, learn about penalized cost function, dropout, early stopping, momentum, and some optimizers like AdaGrad and RMSProp that help with regularizing a neural network.
In the one layer strategy, also called as economic mpc,the gradient of the economic function is included in the cost function of the predictive controller.
So if we calculate a partial derivative of our cost function with respect to each of our weights, then we can subtract that value from each weight.
Production analysis- microeconomic techniques are used to analyze production efficiency, optimum factor allocation, costs, economies of scale andto estimate the firm's cost function.
Then, we provide sufficient conditions over the cost function under which it is optimal to offer a single contract, independently of agent¿s risk aversion.
In this work, we study the so called optimal transport theory:given two probability measures and a cost function, what is the best way to take one measure to another, minimizing costs? .