Arithmetic and Mathematical Operations
This page lists the built-in methods and operators for applying arithmetic or other mathematical operations. For both static methods and operators, you can often pass in random variables as arguments e.g. Variable<double> instead of double. For compactness, this is not shown in the syntax below.
These methods provide a convenient short alternative to using Variable<T>.Factor and passing in the factor method, as described on this page.
Arithmetic Operations
Arithmetic operations are supported via operator overloads or static methods.
|
Operation |
Syntax |
Description |
|
Plus (double) |
a + b |
Creates a double random variable equal to the sum of a and b. |
| Plus (int) |
a + b |
Creates an int random variable equal to the sum of a and b. |
| Minus |
a - b |
Creates a double random variable equal to the difference of a and b. |
|
Times |
a * b |
Creates a double random variable equal to the product of a and b. |
| Divide |
a / b |
Creates a double random variable equal to the ratio of a to b. |
| Sum of elements |
Variable.Sum(double[] array)
Variable.Sum(IList<double> array) |
Creates a double random variable equal to the sum of the elements of the array. |
Mathematical Operations
Mathematical operations are supported via static methods.
|
Operation |
Syntax |
Description |
| Exp |
Variable.Exp(double exponent) |
Creates a double random variable which takes e to the power of exponent. |
| Logistic |
Variable.Logistic(double x) |
Creates a double random variable equal to 1/(1+exp(-x)). |
| Max |
Variable.Max(double a, double b) |
Creates a double random variable equal to the maximum of a and b. |
Softmax
(experimental) |
Variable.Softmax(double[] x) |
Creates a Vector random variable y where y[i] = exp(x[i])/(sum_j exp(x[j])). |
Last modified at 8/25/2009 2:16 PM by Tom Minka
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