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java.lang.Objectorg.apache.commons.math3.analysis.function.Gaussian
public class Gaussian
Gaussian function.
Nested Class Summary | |
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static class |
Gaussian.Parametric
Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation |
Field Summary | |
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private double |
i2s2
Inverse of twice the square of the standard deviation. |
private double |
is
Inverse of the standard deviation. |
private double |
mean
Mean. |
private double |
norm
Normalization factor. |
Constructor Summary | |
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Gaussian()
Normalized gaussian with zero mean and unit standard deviation. |
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Gaussian(double mean,
double sigma)
Normalized gaussian with given mean and standard deviation. |
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Gaussian(double norm,
double mean,
double sigma)
Gaussian with given normalization factor, mean and standard deviation. |
Method Summary | |
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UnivariateFunction |
derivative()
Deprecated. as of 3.1, replaced by value(DerivativeStructure) |
DerivativeStructure |
value(DerivativeStructure t)
Simple mathematical function. |
double |
value(double x)
Compute the value of the function. |
private static double |
value(double xMinusMean,
double norm,
double i2s2)
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Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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private final double mean
private final double is
private final double i2s2
private final double norm
Constructor Detail |
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public Gaussian(double norm, double mean, double sigma) throws NotStrictlyPositiveException
norm
- Normalization factor.mean
- Mean.sigma
- Standard deviation.
NotStrictlyPositiveException
- if sigma <= 0
.public Gaussian(double mean, double sigma) throws NotStrictlyPositiveException
mean
- Mean.sigma
- Standard deviation.
NotStrictlyPositiveException
- if sigma <= 0
.public Gaussian()
Method Detail |
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public double value(double x)
value
in interface UnivariateFunction
x
- Point at which the function value should be computed.
@Deprecated public UnivariateFunction derivative()
value(DerivativeStructure)
derivative
in interface DifferentiableUnivariateFunction
private static double value(double xMinusMean, double norm, double i2s2)
xMinusMean
- x - mean
.norm
- Normalization factor.i2s2
- Inverse of twice the square of the standard deviation.
x
.public DerivativeStructure value(DerivativeStructure t)
UnivariateDifferentiableFunction
classes compute both the
value and the first derivative of the function.
value
in interface UnivariateDifferentiableFunction
t
- function input value
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