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SSJ
3.3.1
Stochastic Simulation in Java
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Represents a function computing a ratio of two values. More...
Public Member Functions | |
| RatioFunction () | |
| Constructs a new ratio function. | |
| RatioFunction (double zeroOverZero) | |
Constructs a new ratio function that returns zeroOverZero for the special case of \(0/0\). More... | |
| double | getZeroOverZeroValue () |
| Returns the value returned by evaluate in the case where the \(0/0\) function is calculated. More... | |
| void | setZeroOverZeroValue (double zeroOverZero) |
Sets the value returned by evaluate for the undefined function \(0/0\) to zeroOverZero. More... | |
| int | getDimension () |
| Returns \(d\), the dimension of the function computed by this implementation. More... | |
| double | evaluate (double... x) |
Computes the function \(g(\mathbf{x})\) for the vector x. More... | |
| double | evaluateGradient (int i, double... x) |
| Computes \(\partial g(\mathbf{x})/\partial x_i\), the derivative of \(g(\mathbf{x})\) with respect to \(x_i\). More... | |
Represents a function computing a ratio of two values.
| RatioFunction | ( | double | zeroOverZero | ) |
Constructs a new ratio function that returns zeroOverZero for the special case of \(0/0\).
See the getZeroOverZeroValue method for more information. The default value of zeroOverZero is Double.NaN.
| zeroOverZero | the value for \(0/0\). |
| double evaluate | ( | double... | x | ) |
Computes the function \(g(\mathbf{x})\) for the vector x.
The length of the given array must correspond to the dimension of this function. The method must compute and return the result of the function without modifying the elements in x since the array can be reused for further computation.
| x | a vector \(\mathbf{x}\). |
| NullPointerException | if x is null. |
| IllegalArgumentException | if x.length does not correspond to the dimension of this function. |
Implements MultivariateFunction.
| double evaluateGradient | ( | int | i, |
| double... | x | ||
| ) |
Computes \(\partial g(\mathbf{x})/\partial x_i\), the derivative of \(g(\mathbf{x})\) with respect to \(x_i\).
The length of the given array must correspond to the dimension of this function. The method must compute and return the result of the derivative without modifying the elements in x since the array can be reused for further computations, e.g., the gradient \(\nabla g(\mathbf{x})\).
| i | the variable to derive with respect to. |
| x | a vector \(\mathbf{x}\). |
| NullPointerException | if x is null. |
| IllegalArgumentException | if x.length does not correspond to the dimension of this function. |
| IndexOutOfBoundsException | if i is negative or greater than or equal to the dimension of this function. |
Implements MultivariateFunction.
| int getDimension | ( | ) |
Returns \(d\), the dimension of the function computed by this implementation.
If the dimension is not fixed, this method must return a negative value.
Implements MultivariateFunction.
| double getZeroOverZeroValue | ( | ) |
Returns the value returned by evaluate in the case where the \(0/0\) function is calculated.
The default value for \(0/0\) is Double.NaN.
Generally, \(0/0\) is undefined, and therefore associated with the Double.NaN constant, meaning not-a-number. However, in certain applications, it can be defined differently to accomodate some special cases. For exemple, in a queueing system, if there are no arrivals, no customers are served, lost, queued, etc. As a result, many performance measures of interest turn out to be \(0/0\). Specifically, the loss probability, i.e., the ratio of lost customers over the number of arrivals, should be 0 if there is no arrival; in this case, \(0/0\) means 0. On the other hand, the service level, i.e., the fraction of customers waiting less than a fixed threshold, could be fixed to 1 if there is no arrival.
| void setZeroOverZeroValue | ( | double | zeroOverZero | ) |
Sets the value returned by evaluate for the undefined function \(0/0\) to zeroOverZero.
See getZeroOverZeroValue for more information.
| zeroOverZero | the new value for \(0/0\). |
1.8.14