UnivariateDifferentiableFunction
, UnivariateFunction
public class Gaussian extends Object implements UnivariateDifferentiableFunction
Modifier and Type | Class | Description |
---|---|---|
static class |
Gaussian.Parametric |
Parametric function where the input array contains the parameters of
the Gaussian, ordered as follows:
Norm
Mean
Standard deviation
|
Constructor | Description |
---|---|
Gaussian() |
Normalized gaussian with zero mean and unit standard deviation.
|
Gaussian(double mean,
double sigma) |
Normalized gaussian with given mean and standard deviation.
|
Gaussian(double norm,
double mean,
double sigma) |
Gaussian with given normalization factor, mean and standard deviation.
|
Modifier and Type | Method | Description |
---|---|---|
double |
value(double x) |
Compute the value of the function.
|
DerivativeStructure |
value(DerivativeStructure t) |
Simple mathematical function.
|
public Gaussian(double norm, double mean, double sigma) throws MathIllegalArgumentException
norm
- Normalization factor.mean
- Mean.sigma
- Standard deviation.MathIllegalArgumentException
- if sigma <= 0
.public Gaussian(double mean, double sigma) throws MathIllegalArgumentException
mean
- Mean.sigma
- Standard deviation.MathIllegalArgumentException
- if sigma <= 0
.public Gaussian()
public double value(double x)
value
in interface UnivariateFunction
x
- Point at which the function value should be computed.public DerivativeStructure value(DerivativeStructure t) throws MathIllegalArgumentException
UnivariateDifferentiableFunction
classes compute both the
value and the first derivative of the function.
value
in interface UnivariateDifferentiableFunction
t
- function input valueMathIllegalArgumentException
- if t is inconsistent with the
function's free parameters or orderCopyright © 2016–2018 Hipparchus.org. All rights reserved.