org.spaceroots.mantissa.quadrature.vectorial

Class EnhancedSimpsonIntegrator

java.lang.Object

org.spaceroots.mantissa.quadrature.vectorial.EnhancedSimpsonIntegrator

All Implemented Interfaces:

SampledFunctionIntegrator

public class EnhancedSimpsonIntegrator
extends java.lang.Object
implements SampledFunctionIntegrator

This class implements an enhanced Simpson-like integrator.

A traditional Simpson integrator is based on a quadratic approximation of the function on three equally spaced points. This integrator does the same thing but can handle non-equally spaced points. If it is used on a regular sample, it behaves exactly as a traditional Simpson integrator.

Constructor Summary

Constructors

Constructor and Description
EnhancedSimpsonIntegrator()

Method Summary

Modifier and Type	Method and Description
double[]	integrate(SampledFunctionIterator iter) Integrate a sample over its overall range

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

EnhancedSimpsonIntegrator

public EnhancedSimpsonIntegrator()

Method Detail

integrate

public double[] integrate(SampledFunctionIterator iter)
                   throws ExhaustedSampleException,
                          FunctionException

Description copied from interface: SampledFunctionIntegrator

Integrate a sample over its overall range

Specified by:

integrate in interface SampledFunctionIntegrator

Parameters:

iter - iterator over the sample to integrate

Returns:

value of the integral over the sample range

Throws:

ExhaustedSampleException - if the sample does not have enough points for the integration scheme

FunctionException - if the underlying sampled function throws one