本文整理汇总了Java中org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian类的典型用法代码示例。如果您正苦于以下问题：Java ModelFunctionJacobian类的具体用法？Java ModelFunctionJacobian怎么用？Java ModelFunctionJacobian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。
ModelFunctionJacobian类属于org.apache.commons.math3.optim.nonlinear.vector包，在下文中一共展示了ModelFunctionJacobian类的11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，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: fit
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
protected Molecule fit(ILsqFunctions functions) {
// init
double[] weights = functions.calcWeights(useWeighting);
double[] observations = functions.getObservations();
// fit
LevenbergMarquardtOptimizer optimizer = new LevenbergMarquardtOptimizer(
new SimplePointChecker<PointVectorValuePair>(10e-10, 10e-10, maxIter));
PointVectorValuePair pv;
pv = optimizer.optimize(
MaxEval.unlimited(),
new MaxIter(MAX_ITERATIONS + 1),
new ModelFunction(functions.getValueFunction()),
new ModelFunctionJacobian(functions.getJacobianFunction()),
new Target(observations),
new InitialGuess(psfModel.transformParametersInverse(functions.getInitialParams())),
new Weight(weights));
// estimate background and return an instance of the `Molecule`
fittedParameters = pv.getPointRef();
if (bkgStdColumn >= 0) {
fittedParameters[bkgStdColumn] = VectorMath.stddev(sub(observations, functions.getValueFunction().value(fittedParameters)));
}
return psfModel.newInstanceFromParams(psfModel.transformParameters(fittedParameters), functions.getImageUnits(), true);
}
示例2: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] params) {
double[][] jacobian = new double[time.size()][5];
for (int i = 0; i < jacobian.length; ++i) {
final double t = time.get(i);
jacobian[i][0] = 1;
final double p3 = params[3];
final double p4 = params[4];
final double tOp3 = t / p3;
final double tOp4 = t / p4;
jacobian[i][1] = FastMath.exp(-tOp3);
jacobian[i][2] = FastMath.exp(-tOp4);
jacobian[i][3] = params[1] * FastMath.exp(-tOp3) * tOp3 / p3;
jacobian[i][4] = params[2] * FastMath.exp(-tOp4) * tOp4 / p4;
}
return jacobian;
}
});
}
示例3: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] params) {
double[][] jacobian = new double[time.size()][5];
for (int i = 0; i < jacobian.length; ++i) {
final double t = time.get(i);
jacobian[i][0] = 1;
final double p3 = params[3];
final double p4 = params[4];
final double tOp3 = t / p3;
final double tOp4 = t / p4;
jacobian[i][1] = Math.exp(-tOp3);
jacobian[i][2] = Math.exp(-tOp4);
jacobian[i][3] = params[1] * Math.exp(-tOp3) * tOp3 / p3;
jacobian[i][4] = params[2] * Math.exp(-tOp4) * tOp4 / p4;
}
return jacobian;
}
});
}
示例4: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
/**
* @return the model function Jacobian.
*/
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
/** {@inheritDoc} */
public double[][] value(double[] point) {
final double[][] jacobian = new double[observations.size()][];
int i = 0;
for (WeightedObservedPoint observed : observations) {
jacobian[i++] = f.gradient(observed.getX(), point);
}
return jacobian;
}
});
}
示例5: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
/**
* @return the model function Jacobian.
*/
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] point) {
final double[][] jacobian = new double[observations.size()][];
int i = 0;
for (WeightedObservedPoint observed : observations) {
jacobian[i++] = f.gradient(observed.getX(), point);
}
return jacobian;
}
});
}
示例6: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] params) {
return factors.getData();
}
});
}
示例7: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] params) {
final int n = points.size();
final Vector2D center = new Vector2D(params[0], params[1]);
double dRdX = 0;
double dRdY = 0;
for (Vector2D pk : points) {
double dk = pk.distance(center);
dRdX += (center.getX() - pk.getX()) / dk;
dRdY += (center.getY() - pk.getY()) / dk;
}
dRdX /= n;
dRdY /= n;
// Jacobian of the radius residuals.
double[][] jacobian = new double[n][2];
for (int i = 0; i < n; i++) {
final Vector2D pi = points.get(i);
final double di = pi.distance(center);
jacobian[i][0] = (center.getX() - pi.getX()) / di - dRdX;
jacobian[i][1] = (center.getY() - pi.getY()) / di - dRdY;
}
return jacobian;
}
});
}
示例8: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] point) {
return jacobian(point);
}
});
}
示例9: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] point) {
return computeJacobian(point);
}
});
}
示例10: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(double[] point) {
return jacobian(point);
}
});
}
示例11: getModelFunctionJacobian
import org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian; //导入依赖的package包/类
public ModelFunctionJacobian getModelFunctionJacobian() {
return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
public double[][] value(final double[] a)
throws IllegalArgumentException {
final int n = getNumObservations();
final double[][] j = new double[n][];
for (int i = 0; i < n; i++) {
j[i] = getModelDerivatives(getX(i), a);
}
return j;
}
});
}