本文整理汇总了Java中org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction类的典型用法代码示例。如果您正苦于以下问题：Java UnivariateDifferentiableFunction类的具体用法？Java UnivariateDifferentiableFunction怎么用？Java UnivariateDifferentiableFunction使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
UnivariateDifferentiableFunction类属于org.apache.commons.math3.analysis.differentiation包，在下文中一共展示了UnivariateDifferentiableFunction类的16个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Java代码示例。
示例1: testMath832
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testMath832() {
final UnivariateFunction f = new UnivariateFunction() {
private final UnivariateDifferentiableFunction sqrt = new Sqrt();
private final UnivariateDifferentiableFunction inv = new Inverse();
private final UnivariateDifferentiableFunction func
= FunctionUtils.add(FunctionUtils.multiply(new Constant(1e2), sqrt),
FunctionUtils.multiply(new Constant(1e6), inv),
FunctionUtils.multiply(new Constant(1e4),
FunctionUtils.compose(inv, sqrt)));
public double value(double x) {
return func.value(new DerivativeStructure(1, 1, 0, x)).getPartialDerivative(1);
}
};
BrentSolver solver = new BrentSolver();
final double result = solver.solve(99, f, 1, 1e30, 1 + 1e-10);
Assert.assertEquals(804.93558250, result, 1e-8);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:22，代码来源:BrentSolverTest.java
示例2: testMultiplyDifferentiable
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testMultiplyDifferentiable() {
UnivariateDifferentiableFunction c = new Constant(4);
UnivariateDifferentiableFunction id = new Identity();
final double a = 1.2345678;
Assert.assertEquals(8 * a, FunctionUtils.multiply(c, id, id).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction inv = new Inverse();
UnivariateDifferentiableFunction pow = new Power(2.5);
UnivariateDifferentiableFunction cos = new Cos();
Assert.assertEquals(1.5 * FastMath.sqrt(a) * FastMath.cos(a) - FastMath.pow(a, 1.5) * FastMath.sin(a),
FunctionUtils.multiply(inv, pow, cos).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction cosh = new Cosh();
Assert.assertEquals(1.5 * FastMath.sqrt(a) * FastMath.cosh(a) + FastMath.pow(a, 1.5) * FastMath.sinh(a),
FunctionUtils.multiply(inv, pow, cosh).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), 8 * EPS);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:18，代码来源:FunctionUtilsTest.java
示例3: toUnivariateDifferential
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
/**
* Convert a {@link DifferentiableUnivariateFunction} into a {@link UnivariateDifferentiableFunction}.
* <p>
* Note that the converted function is able to handle {@link DerivativeStructure} up to order one.
* If the function is called with higher order, a {@link NumberIsTooLargeException} is thrown.
* </p>
* @param f function to convert
* @return converted function
* @deprecated this conversion method is temporary in version 3.1, as the {@link
* DifferentiableUnivariateFunction} interface itself is deprecated
*/
@Deprecated
public static UnivariateDifferentiableFunction toUnivariateDifferential(final DifferentiableUnivariateFunction f) {
return new UnivariateDifferentiableFunction() {
/** {@inheritDoc} */
public double value(final double x) {
return f.value(x);
}
/** {@inheritDoc}
* @exception NumberIsTooLargeException if derivation order is greater than 1
*/
public DerivativeStructure value(final DerivativeStructure t)
throws NumberIsTooLargeException {
switch (t.getOrder()) {
case 0 :
return new DerivativeStructure(t.getFreeParameters(), 0, f.value(t.getValue()));
case 1 : {
final int parameters = t.getFreeParameters();
final double[] derivatives = new double[parameters + 1];
derivatives[0] = f.value(t.getValue());
final double fPrime = f.derivative().value(t.getValue());
int[] orders = new int[parameters];
for (int i = 0; i < parameters; ++i) {
orders[i] = 1;
derivatives[i + 1] = fPrime * t.getPartialDerivative(orders);
orders[i] = 0;
}
return new DerivativeStructure(parameters, 1, derivatives);
}
default :
throw new NumberIsTooLargeException(t.getOrder(), 1, true);
}
}
};
}
开发者ID:biocompibens，项目名称:SME，代码行数:49，代码来源:FunctionUtils.java
示例4: toUnivariateDifferential
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
/** Convert a {@link DifferentiableUnivariateFunction} into a {@link UnivariateDifferentiableFunction}.
* <p>
* Note that the converted function is able to handle {@link DerivativeStructure} up to order one.
* If the function is called with higher order, a {@link NumberIsTooLargeException} will be thrown.
* </p>
* @param f function to convert
* @return converted function
* @deprecated this conversion method is temporary in version 3.1, as the {@link
* DifferentiableUnivariateFunction} interface itself is deprecated
*/
@Deprecated
public static UnivariateDifferentiableFunction toUnivariateDifferential(final DifferentiableUnivariateFunction f) {
return new UnivariateDifferentiableFunction() {
/** {@inheritDoc} */
public double value(final double x) {
return f.value(x);
}
/** {@inheritDoc}
* @exception NumberIsTooLargeException if derivation order is greater than 1
*/
public DerivativeStructure value(final DerivativeStructure t)
throws NumberIsTooLargeException {
switch (t.getOrder()) {
case 0 :
return new DerivativeStructure(t.getFreeParameters(), 0, f.value(t.getValue()));
case 1 : {
final int parameters = t.getFreeParameters();
final double[] derivatives = new double[parameters + 1];
derivatives[0] = f.value(t.getValue());
final double fPrime = f.derivative().value(t.getValue());
int[] orders = new int[parameters];
for (int i = 0; i < parameters; ++i) {
orders[i] = 1;
derivatives[i + 1] = fPrime * t.getPartialDerivative(orders);
orders[i] = 0;
}
return new DerivativeStructure(parameters, 1, derivatives);
}
default :
throw new NumberIsTooLargeException(t.getOrder(), 1, true);
}
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:48，代码来源:FunctionUtils.java
示例5: testValueWithInverseFunction
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testValueWithInverseFunction() {
final double lo = 2;
final double hi = 3;
final Logit f = new Logit(lo, hi);
final Sigmoid g = new Sigmoid(lo, hi);
RandomGenerator random = new Well1024a(0x49914cdd9f0b8db5l);
final UnivariateDifferentiableFunction id = FunctionUtils.compose((UnivariateDifferentiableFunction) g,
(UnivariateDifferentiableFunction) f);
for (int i = 0; i < 10; i++) {
final double x = lo + random.nextDouble() * (hi - lo);
Assert.assertEquals(x, id.value(new DerivativeStructure(1, 1, 0, x)).getValue(), EPS);
}
Assert.assertEquals(lo, id.value(new DerivativeStructure(1, 1, 0, lo)).getValue(), EPS);
Assert.assertEquals(hi, id.value(new DerivativeStructure(1, 1, 0, hi)).getValue(), EPS);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:19，代码来源:LogitTest.java
示例6: testComposeDifferentiable
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testComposeDifferentiable() {
UnivariateDifferentiableFunction id = new Identity();
Assert.assertEquals(1, FunctionUtils.compose(id, id, id).value(new DerivativeStructure(1, 1, 0, 3)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction c = new Constant(4);
Assert.assertEquals(0, FunctionUtils.compose(id, c).value(new DerivativeStructure(1, 1, 0, 3)).getPartialDerivative(1), EPS);
Assert.assertEquals(0, FunctionUtils.compose(c, id).value(new DerivativeStructure(1, 1, 0, 3)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction m = new Minus();
Assert.assertEquals(-1, FunctionUtils.compose(m).value(new DerivativeStructure(1, 1, 0, 3)).getPartialDerivative(1), EPS);
Assert.assertEquals(1, FunctionUtils.compose(m, m).value(new DerivativeStructure(1, 1, 0, 3)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction inv = new Inverse();
Assert.assertEquals(0.25, FunctionUtils.compose(inv, m, id).value(new DerivativeStructure(1, 1, 0, 2)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction pow = new Power(2);
Assert.assertEquals(108, FunctionUtils.compose(pow, pow).value(new DerivativeStructure(1, 1, 0, 3)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction log = new Log();
double a = 9876.54321;
Assert.assertEquals(pow.value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1) / pow.value(a),
FunctionUtils.compose(log, pow).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), EPS);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:25，代码来源:FunctionUtilsTest.java
示例7: testToUnivariateDifferential
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
@Deprecated
public void testToUnivariateDifferential() {
// Sin implements both UnivariateDifferentiableFunction and DifferentiableUnivariateFunction
Sin sin = new Sin();
UnivariateDifferentiableFunction converted = FunctionUtils.toUnivariateDifferential(sin);
for (double x = 0.1; x < 0.5; x += 0.01) {
DerivativeStructure t = new DerivativeStructure(2, 1, x, 1.0, 2.0);
Assert.assertEquals(sin.value(t).getValue(), converted.value(t).getValue(), 1.0e-10);
Assert.assertEquals(sin.value(t).getPartialDerivative(1, 0),
converted.value(t).getPartialDerivative(1, 0),
1.0e-10);
Assert.assertEquals(sin.value(t).getPartialDerivative(0, 1),
converted.value(t).getPartialDerivative(0, 1),
1.0e-10);
}
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:20，代码来源:FunctionUtilsTest.java
示例8: testMultiplyDifferentiable
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testMultiplyDifferentiable() {
UnivariateDifferentiableFunction c = new Constant(4);
UnivariateDifferentiableFunction id = new Identity();
final double a = 1.2345678;
Assert.assertEquals(8 * a, FunctionUtils.multiply(c, id, id).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction inv = new Inverse();
UnivariateDifferentiableFunction pow = new Power(2.5);
UnivariateDifferentiableFunction cos = new Cos();
Assert.assertEquals(1.5 * Math.sqrt(a) * Math.cos(a) - Math.pow(a, 1.5) * Math.sin(a),
FunctionUtils.multiply(inv, pow, cos).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), EPS);
UnivariateDifferentiableFunction cosh = new Cosh();
Assert.assertEquals(1.5 * Math.sqrt(a) * Math.cosh(a) + Math.pow(a, 1.5) * Math.sinh(a),
FunctionUtils.multiply(inv, pow, cosh).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1), 8 * EPS);
}
开发者ID:SpoonLabs，项目名称:astor，代码行数:18，代码来源:FunctionUtilsTest.java
示例9: log
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
public Variable log(Transform transform, Variable numericVariable, Map<String, TransformOption> options) throws Exception {
double[] rawData = numericVariable.getData();// check of <= 0
if (numericVariable.calculateUnivariateStats().get(UnivariateStat.getStats().get("min")).get(0)[0] <= 0) {
Transform scaleTransform = new Transform("scale", null, numericVariable, getStatLib());
numericVariable = scaleTransform.transform();
VariableDAO.getInstance().createVariableRow(numericVariable);
}
UnivariateDifferentiableFunction function = new Log();
double[] logData = new double[rawData.length];
for (int i = 0; i < rawData.length; i++) {
logData[i] = function.value(rawData[i]);
}
Instances weka = new Util().createWekaData(logData, transform.toString());
return new Variable(numericVariable, transform, transform.toString(), numericVariable.getLab(), logData, weka, numericVariable.getDateFormat(), VariableType.NUMERIC);
}
开发者ID:williamClanton，项目名称:jbossBA，代码行数:20，代码来源:WekaApacheEngine.java
示例10: inverse
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
public Variable inverse(Transform transform, Variable numericVariable, Map<String, TransformOption> options) throws Exception {
if (numericVariable.calculateUnivariateStats().get("min").get(0)[0] <= 0) {
Transform scaleTransform = new Transform("scale", null, numericVariable, getStatLib());
numericVariable = scaleTransform.transform();
VariableDAO.getInstance().createVariableRow(numericVariable);
}
UnivariateDifferentiableFunction function = new Inverse();
double[] origData = numericVariable.getData();
double[] newData = new double[origData.length];
for (int i = 0; i < origData.length; i++) {
newData[i] = function.value(origData[i]);
}
Instances weka = new Util().createWekaData(newData, transform.toString());
return new Variable(numericVariable, transform, transform.toString(), numericVariable.getLab(), newData, weka, numericVariable.getDateFormat(), VariableType.NUMERIC);
}
开发者ID:williamClanton，项目名称:jbossBA，代码行数:18，代码来源:WekaApacheEngine.java
示例11: setup
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
/**
* {@inheritDoc}
*/
@Override
protected void setup(int maxEval, UnivariateDifferentiableFunction f,
double min, double max, double startValue) {
super.setup(maxEval, f, min, max, startValue);
function = f;
}
开发者ID:biocompibens，项目名称:SME，代码行数:10，代码来源:AbstractUnivariateDifferentiableSolver.java
示例12: testSinZero
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
/**
*
*/
@Test
public void testSinZero() {
UnivariateDifferentiableFunction f = new Sin();
double result;
NewtonRaphsonSolver solver = new NewtonRaphsonSolver();
result = solver.solve(100, f, 3, 4);
Assert.assertEquals(result, FastMath.PI, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 1, 4);
Assert.assertEquals(result, FastMath.PI, solver.getAbsoluteAccuracy());
Assert.assertTrue(solver.getEvaluations() > 0);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:18，代码来源:NewtonRaphsonSolverTest.java
示例13: testQuinticZero
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
/**
*
*/
@Test
public void testQuinticZero() {
final UnivariateDifferentiableFunction f = new QuinticFunction();
double result;
NewtonRaphsonSolver solver = new NewtonRaphsonSolver();
result = solver.solve(100, f, -0.2, 0.2);
Assert.assertEquals(result, 0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, -0.1, 0.3);
Assert.assertEquals(result, 0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, -0.3, 0.45);
Assert.assertEquals(result, 0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.3, 0.7);
Assert.assertEquals(result, 0.5, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.2, 0.6);
Assert.assertEquals(result, 0.5, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.05, 0.95);
Assert.assertEquals(result, 0.5, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.85, 1.25);
Assert.assertEquals(result, 1.0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.8, 1.2);
Assert.assertEquals(result, 1.0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.85, 1.75);
Assert.assertEquals(result, 1.0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.55, 1.45);
Assert.assertEquals(result, 1.0, solver.getAbsoluteAccuracy());
result = solver.solve(100, f, 0.85, 5);
Assert.assertEquals(result, 1.0, solver.getAbsoluteAccuracy());
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:43，代码来源:NewtonRaphsonSolverTest.java
示例14: testDerivatives
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testDerivatives() {
final UnivariateDifferentiableFunction gaussian = new Gaussian(2.0, 0.9, 3.0);
final DerivativeStructure dsX = new DerivativeStructure(1, 4, 0, 1.1);
final DerivativeStructure dsY = gaussian.value(dsX);
Assert.assertEquals( 1.9955604901712128349, dsY.getValue(), EPS);
Assert.assertEquals(-0.044345788670471396332, dsY.getPartialDerivative(1), EPS);
Assert.assertEquals(-0.22074348138190206174, dsY.getPartialDerivative(2), EPS);
Assert.assertEquals( 0.014760030401924800557, dsY.getPartialDerivative(3), EPS);
Assert.assertEquals( 0.073253159785035691678, dsY.getPartialDerivative(4), EPS);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:12，代码来源:GaussianTest.java
示例15: testDerivativeComparison
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testDerivativeComparison() {
final UnivariateDifferentiableFunction sPrime = new Sqrt();
final UnivariateFunction f = new UnivariateFunction() {
public double value(double x) {
return 1 / (2 * FastMath.sqrt(x));
}
};
for (double x = 1e-30; x < 1e10; x *= 2) {
final double fX = f.value(x);
final double sX = sPrime.value(new DerivativeStructure(1, 1, 0, x)).getPartialDerivative(1);
Assert.assertEquals("x=" + x, fX, sX, FastMath.ulp(fX));
}
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:16，代码来源:SqrtTest.java
示例16: testAddDifferentiable
import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; //导入依赖的package包/类
@Test
public void testAddDifferentiable() {
UnivariateDifferentiableFunction sin = new Sin();
UnivariateDifferentiableFunction c = new Constant(4);
UnivariateDifferentiableFunction m = new Minus();
UnivariateDifferentiableFunction inv = new Inverse();
final double a = 123.456;
Assert.assertEquals(- 1 / (a * a) -1 + FastMath.cos(a),
FunctionUtils.add(inv, m, c, sin).value(new DerivativeStructure(1, 1, 0, a)).getPartialDerivative(1),
EPS);
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:13，代码来源:FunctionUtilsTest.java
注：本文中的org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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