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// to you under the Apache License, Version 2.0 (the
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//
// http://www.apache.org/licenses/LICENSE-2.0
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package org.spaceroots.mantissa.quadrature.vectorial;
import org.spaceroots.mantissa.functions.vectorial.*;
import org.spaceroots.mantissa.functions.FunctionException;
import org.spaceroots.mantissa.functions.ExhaustedSampleException;
/** This class implements a Riemann integrator as a sample.
* <p>A Riemann integrator is a very simple one that assumes the
* function is constant over the integration step. Since it is very
* simple, this algorithm needs very small steps to achieve high
* accuracy, and small steps lead to numerical errors and
* instabilities.</p>
* <p>This algorithm is almost never used and has been included in
* this package only as a simple template for more useful
* integrators.</p>
* @see RiemannIntegrator
* @version $Id$
* @author L. Maisonobe
*/
public class RiemannIntegratorSampler
implements SampledFunctionIterator {
/** Underlying sample iterator. */
private SampledFunctionIterator iter;
/** Current point. */
private VectorialValuedPair current;
/** Current running sum. */
private double[] sum;
/** Constructor.
* Build an integrator from an underlying sample iterator.
* @param iter iterator over the base function
*/
public RiemannIntegratorSampler(SampledFunctionIterator iter)
throws ExhaustedSampleException, FunctionException {
this.iter = iter;
// get the first point
current = iter.nextSamplePoint();
// initialize the sum
sum = new double[iter.getDimension()];
for (int i = 0; i < sum.length; ++i) {
sum[i] = 0.0;
}
}
public boolean hasNext() {
return iter.hasNext();
}
public int getDimension() {
return iter.getDimension();
}
public VectorialValuedPair nextSamplePoint()
throws ExhaustedSampleException, FunctionException {
// performs one step of a Riemann scheme
VectorialValuedPair previous = current;
current = iter.nextSamplePoint();
double step = (current.x - previous.x);
double[] pY = previous.y;
for (int i = 0; i < sum.length; ++i) {
sum[i] += step * pY[i];
}
return new VectorialValuedPair (current.x, (double[]) sum.clone());
}
}