| Package | Description |
|---|---|
| smile.math |
Basic mathematical functions, complex, differentiable function interfaces,
random number generators, unconstrained optimization, and raw data type
(int and double) array lists, etc.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractDifferentiableMultivariateFunction
An abstract implementation that uses finite differences to calculate the
partial derivatives instead of providing them analytically.
|
| Modifier and Type | Method and Description |
|---|---|
static double |
Math.min(DifferentiableMultivariateFunction func,
double[] x,
double gtol)
This method solves the unconstrained minimization problem
|
static double |
Math.min(DifferentiableMultivariateFunction func,
double[] x,
double gtol,
int maxIter)
This method solves the unconstrained minimization problem
|
static double |
Math.min(DifferentiableMultivariateFunction func,
int m,
double[] x,
double gtol)
This method solves the unconstrained minimization problem
|
static double |
Math.min(DifferentiableMultivariateFunction func,
int m,
double[] x,
double gtol,
int maxIter)
This method solves the unconstrained minimization problem
|
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