net.finmath.stochastic.RandomVariableArrayImplementation Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of finmath-lib Show documentation
finmath lib is a Mathematical Finance Library in Java. It provides algorithms and methodologies related to mathematical finance.
There is a newer version: 6.0.19
Show newest version
/*
 * (c) Copyright Christian P. Fries, Germany. Contact: [email protected].
 *
 * Created on 09.02.2009
 */
package net.finmath.stochastic;

import java.util.function.DoubleBinaryOperator;
import java.util.function.DoubleUnaryOperator;
import java.util.function.Function;
import java.util.function.IntToDoubleFunction;
import java.util.stream.DoubleStream;

import net.finmath.functions.DoubleTernaryOperator;

/**
 * An implementation of RandomVariableArray implementing an array of RandomVariable objects,
 * implementing the RandomVariable interface.
 *
 * @author Christian Fries
 */
public class RandomVariableArrayImplementation implements RandomVariableArray {

	private static final long serialVersionUID = -5718980901166760522L;

	private final RandomVariable[] elements;

	private RandomVariableArrayImplementation(RandomVariable[] elements) {
		super();

		if(elements.length == 0) throw new IllegalArgumentException("Empty array.");

		// Ensure that all elements
		int level = getLevel(elements[0]);
		for(int i=1; i operator) {
		RandomVariable[] newElments = new RandomVariable[getNumberOfElements()];
		for(int i=1; i x.apply(operator));
	}

	@Override
	public RandomVariable apply(DoubleBinaryOperator operator, RandomVariable argument) {
		return map(x -> x.apply(operator, argument));
	}

	@Override
	public RandomVariable apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2) {
		return map(x -> x.apply(operator, argument1, argument2));
	}

	@Override
	public RandomVariable cap(double cap) {
		return map(x -> x.cap(cap));
	}

	@Override
	public RandomVariable floor(double floor) {
		return map(x -> x.floor(floor));
	}

	@Override
	public RandomVariable add(double value) {
		return map(x -> x.add(value));
	}

	@Override
	public RandomVariable sub(double value) {
		return map(x -> x.sub(value));
	}

	@Override
	public RandomVariable mult(double value) {
		return map(x -> x.mult(value));
	}

	@Override
	public RandomVariable div(double value) {
		return map(x -> x.div(value));
	}

	@Override
	public RandomVariable pow(double exponent) {
		return map(x -> x.pow(exponent));
	}

	@Override
	public RandomVariable average() {
		return map(x -> x.average());
	}

	@Override
	public RandomVariable squared() {
		return map(x -> x.squared());
	}

	@Override
	public RandomVariable sqrt() {
		return map(x -> x.sqrt());
	}

	@Override
	public RandomVariable exp() {
		return map(x -> x.exp());
	}

	@Override
	public RandomVariable log() {
		return map(x -> x.log());
	}

	@Override
	public RandomVariable sin() {
		return map(x -> x.sin());
	}

	@Override
	public RandomVariable cos() {
		return map(x -> x.cos());
	}

	@Override
	public RandomVariable add(RandomVariable randomVariable) {
		return map(x -> x.add(randomVariable));
	}

	@Override
	public RandomVariable sub(RandomVariable randomVariable) {
		return map(x -> x.sub(randomVariable));
	}

	@Override
	public RandomVariable bus(RandomVariable randomVariable) {
		return map(x -> x.bus(randomVariable));
	}

	@Override
	public RandomVariable mult(RandomVariable randomVariable) {
		return map(x -> x.mult(randomVariable));
	}

	@Override
	public RandomVariable div(RandomVariable randomVariable) {
		return map(x -> x.div(randomVariable));
	}

	@Override
	public RandomVariable vid(RandomVariable randomVariable) {
		return map(x -> x.vid(randomVariable));
	}

	@Override
	public RandomVariable cap(RandomVariable cap) {
		return map(x -> x.cap(cap));
	}

	@Override
	public RandomVariable floor(RandomVariable floor) {
		return map(x -> x.cap(floor));
	}

	@Override
	public RandomVariable accrue(RandomVariable rate, double periodLength) {
		return map(x -> x.accrue(rate, periodLength));
	}

	@Override
	public RandomVariable discount(RandomVariable rate, double periodLength) {
		return map(x -> x.discount(rate, periodLength));
	}

	@Override
	public RandomVariable choose(RandomVariable valueIfTriggerNonNegative, RandomVariable valueIfTriggerNegative) {
		return map(x -> x.choose(valueIfTriggerNonNegative, valueIfTriggerNegative));
	}

	@Override
	public RandomVariable invert() {
		return map(x -> x.invert());
	}

	@Override
	public RandomVariable abs() {
		return map(x -> x.abs());
	}

	@Override
	public RandomVariable addProduct(RandomVariable factor1, double factor2) {
		return map(x -> x.addProduct(factor1, factor2));
	}

	@Override
	public RandomVariable addProduct(RandomVariable factor1, RandomVariable factor2) {
		return map(x -> x.addProduct(factor1, factor2));
	}

	@Override
	public RandomVariable addRatio(RandomVariable numerator, RandomVariable denominator) {
		return map(x -> x.addRatio(numerator, denominator));
	}

	@Override
	public RandomVariable subRatio(RandomVariable numerator, RandomVariable denominator) {
		return map(x -> x.subRatio(numerator, denominator));
	}

	@Override
	public RandomVariable isNaN() {
		return map(x -> x.isNaN());
	}
}