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finmath lib is a Mathematical Finance Library in Java.
It provides algorithms and methodologies related to mathematical finance.
package net.finmath.integration;
import java.util.function.DoubleUnaryOperator;
import java.util.stream.IntStream;
import org.apache.commons.lang3.Validate;
/**
* A simple integrator using Simpson's rule.
*
* The constructor has an optional argument to allow
* parallel function evaluation. In that case, the integration rule
* uses Java 8 parallel streams to evaluate.
*
* @author Christian Fries
* @version 1.0
*/
public class SimpsonRealIntegrator extends AbstractRealIntegral{
private final int numberOfEvaluationPoints;
private final boolean useParallelEvaluation;
/**
* Create an integrator using Simpson's rule.
*
* @param lowerBound Lower bound of the integral.
* @param upperBound Upper bound of the integral.
* @param numberOfEvaluationPoints Maximum number of evaluation points to be used, must be greater or equal to 3, should be odd.
* @param useParallelEvaluation If true, the integration rule will perform parallel evaluation of the integrand.
*/
public SimpsonRealIntegrator(final double lowerBound, final double upperBound, final int numberOfEvaluationPoints, final boolean useParallelEvaluation) {
super(lowerBound, upperBound);
Validate.exclusiveBetween(2, Integer.MAX_VALUE, numberOfEvaluationPoints, "Parameter numberOfEvaluationPoints required to be > 2.");
this.numberOfEvaluationPoints = numberOfEvaluationPoints;
this.useParallelEvaluation = useParallelEvaluation;
}
/**
* Create an integrator using Simpson's rule.
*
* @param lowerBound Lower bound of the integral.
* @param upperBound Upper bound of the integral.
* @param numberOfEvaluationPoints Maximum number of evaluation points to be used.
*/
public SimpsonRealIntegrator(final double lowerBound, final double upperBound, final int numberOfEvaluationPoints) {
this(lowerBound, upperBound, numberOfEvaluationPoints, false);
}
@Override
public double integrate(final DoubleUnaryOperator integrand) {
final double lowerBound = getLowerBound();
final double upperBound = getUpperBound();
final double range = upperBound-lowerBound;
final int numberOfDoubleSizeIntervals = (int) ((numberOfEvaluationPoints-1) / 2.0);
final double doubleInterval = range / numberOfDoubleSizeIntervals;
final double singleInterval = 0.5 * doubleInterval;
IntStream intervals = IntStream.range(1, numberOfDoubleSizeIntervals);
if(useParallelEvaluation) {
intervals = intervals.parallel();
}
double sum = intervals.mapToDouble(
i -> integrand.applyAsDouble(lowerBound + i * doubleInterval) + 2 * integrand.applyAsDouble(lowerBound + i * doubleInterval + singleInterval)
).sum();
sum += 2.0 * integrand.applyAsDouble(lowerBound + singleInterval);
return (integrand.applyAsDouble(lowerBound) + 2.0 * sum + integrand.applyAsDouble(upperBound)) / 3.0 * singleInterval;
}
}