本文整理汇总了Java中org.apache.commons.math3.analysis.MultivariateMatrixFunction类的典型用法代码示例。如果您正苦于以下问题：Java MultivariateMatrixFunction类的具体用法？Java MultivariateMatrixFunction怎么用？Java MultivariateMatrixFunction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。
MultivariateMatrixFunction类属于org.apache.commons.math3.analysis包，在下文中一共展示了MultivariateMatrixFunction类的20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: getNumericJacobianFunction
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getNumericJacobianFunction(final double[] xgrid, final double[] ygrid) {
final MultivariateVectorFunction valueFunction = getValueFunction(xgrid, ygrid);
return new MultivariateMatrixFunction() {
static final double step = 0.01;
@Override
public double[][] value(double[] point) throws IllegalArgumentException {
double[][] retVal = new double[xgrid.length][point.length];
for(int i = 0; i < point.length; i++) {
double[] newPoint = point.clone();
newPoint[i] = newPoint[i] + step;
double[] f1 = valueFunction.value(newPoint);
double[] f2 = valueFunction.value(point);
for(int j = 0; j < f1.length; j++) {
retVal[j][i] = (f1[j] - f2[j]) / step;
}
}
return retVal;
}
};
}
开发者ID:zitmen，项目名称:thunderstorm，代码行数:23，代码来源:PSFModel.java
示例2: getNumericJacobianFunction
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
private MultivariateMatrixFunction getNumericJacobianFunction(final double[] xgrid1, final double[] ygrid1, final double[] xgrid2, final double[] ygrid2) {
final MultivariateVectorFunction valueFunction = getValueFunction(xgrid1, ygrid1, xgrid2, ygrid2);
return new MultivariateMatrixFunction() {
static final double step = 0.01;
@Override
public double[][] value(double[] point) throws IllegalArgumentException {
double[][] retVal = new double[xgrid1.length + xgrid2.length][point.length];
for(int i = 0; i < point.length; i++) {
double[] newPoint = point.clone();
newPoint[i] = newPoint[i] + step;
double[] f1 = valueFunction.value(newPoint);
double[] f2 = valueFunction.value(point);
for(int j = 0; j < f1.length; j++) {
retVal[j][i] = (f1[j] - f2[j]) / step;
}
}
return retVal;
}
};
}
开发者ID:zitmen，项目名称:thunderstorm，代码行数:23，代码来源:BiplaneEllipticGaussianPSF.java
示例3: getJacobianFunction
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
@Override
public MultivariateMatrixFunction getJacobianFunction(final double[] xgrid, final double[] ygrid) {
return new MultivariateMatrixFunction() {
@Override
public double[][] value(double[] point) throws IllegalArgumentException {
fixParams(point);
//
double[][] retVal = new double[xgrid.length][point.length];
for(int i = 0; i < nmol; i++) {
double [] tmp = Arrays.copyOfRange(point, i*Params.PARAMS_LENGTH, (i+1)*Params.PARAMS_LENGTH);
double [][] J = psf.getNumericJacobianFunction(xgrid, ygrid).value(tmp);
for(int j = 0; j < J.length; j++) {
for(int k = 0, l = i*Params.PARAMS_LENGTH; k < J[j].length; k++, l++) {
retVal[j][l] = J[j][k];
}
}
}
return retVal;
}
};
}
开发者ID:zitmen，项目名称:thunderstorm，代码行数:22，代码来源:MultiPSF.java
示例4: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getModelFunctionJacobian() {
return 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;
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:23，代码来源:LevenbergMarquardtOptimizerTest.java
示例5: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //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;
}
});
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:23，代码来源:LevenbergMarquardtOptimizerTest.java
示例6: refine
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
/**
* Perform Levenburg-Marquardt non-linear optimisation to get better
* estimates of the parameters
*/
private void refine()
{
final LevenbergMarquardtOptimizer lm = new LevenbergMarquardtOptimizer();
final RealVector start = buildInitialVector();
final RealVector observed = buildObservedVector();
final int maxEvaluations = 1000;
final int maxIterations = 1000;
final MultivariateVectorFunction value = new Value();
final MultivariateMatrixFunction jacobian = new Jacobian();
final MultivariateJacobianFunction model = LeastSquaresFactory.model(value, jacobian);
final Optimum result = lm.optimize(LeastSquaresFactory.create(model,
observed, start, null, maxEvaluations, maxIterations));
updateEstimates(result.getPoint());
}
开发者ID:openimaj，项目名称:openimaj，代码行数:22，代码来源:CameraCalibrationZhang.java
示例7: createJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
@Override
public MultivariateMatrixFunction createJacobian() {
List<MultiVectorDiffFunction> diffFunctions = new ArrayList<>();
for (int i = 0; i < parameters.size(); i++) {
try {
diffFunctions.add(new MultiVectorDiffFunction(formulas, dependentVariables, initValues, initParameters,
parameters, variableValues, timeValues, dependentVariable, timeVariable, integrator,
interpolator));
} catch (ParseException e) {
}
}
return point -> MathUtils.aproxJacobianParallel(diffFunctions, point,
timeValues.stream().mapToInt(t -> t.size()).sum());
}
开发者ID:SiLeBAT，项目名称:BfROpenLab，代码行数:17，代码来源:MultiVectorDiffFunction.java
示例8: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getModelFunctionJacobian() {
return 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;
}
};
}
开发者ID:SpoonLabs，项目名称:astor，代码行数:23，代码来源:LevenbergMarquardtOptimizerTest.java
示例9: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //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;
}
});
}
开发者ID:SpoonLabs，项目名称:astor，代码行数:23，代码来源:LevenbergMarquardtOptimizerTest.java
示例10: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
/**
* 雅克比矩阵
*
* @return the model function jacobian
*/
public MultivariateMatrixFunction getModelFunctionJacobian() {
return new MultivariateMatrixFunction() {
@Override
public double[][] value(double[] point) {
return jacobian(point);
}
};
}
开发者ID:BPL-Gear，项目名称:bpl-gear，代码行数:14，代码来源:CircleProblem.java
示例11: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //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;
}
});
}
开发者ID:biocompibens，项目名称:SME，代码行数:17，代码来源:CurveFitter.java
示例12: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
/**
* @return the model function Jacobian.
*/
public MultivariateMatrixFunction getModelFunctionJacobian() {
return new MultivariateMatrixFunction() {
/** {@inheritDoc} */
public double[][] value(double[] p) {
final int len = points.length;
final double[][] jacobian = new double[len][];
for (int i = 0; i < len; i++) {
jacobian[i] = f.gradient(points[i], p);
}
return jacobian;
}
};
}
开发者ID:biocompibens，项目名称:SME，代码行数:17，代码来源:AbstractCurveFitter.java
示例13: getJacobianFunction
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
@Override
public MultivariateMatrixFunction getJacobianFunction(final double[] xgrid, final double[] ygrid) {
return new MultivariateMatrixFunction() {
@Override
//derivations by wolfram alpha:
//d(b^2 + ((J*J)/2/PI/(s*s)/(s*s)) * e^( -( ((x0-x)^2)/(2*s*s*s*s) + (((y0-y)^2)/(2*s*s*s*s)))))/dx
public double[][] value(double[] point) throws IllegalArgumentException {
double[] transformedPoint = transformParameters(point);
double sigma = transformedPoint[Params.SIGMA];
double sigmaSquared = sigma * sigma;
double[][] retVal = new double[xgrid.length][transformedPoint.length];
for (int i = 0; i < xgrid.length; i++) {
//d()/dIntensity
double xd = (xgrid[i] - transformedPoint[Params.X]);
double yd = (ygrid[i] - transformedPoint[Params.Y]);
double upper = -(xd * xd + yd * yd) / (2 * sigmaSquared);
double expVal = exp(upper);
double expValDivPISigmaSquared = expVal / (sigmaSquared * PI);
double expValDivPISigmaPowEight = expValDivPISigmaSquared / sigmaSquared;
retVal[i][Params.INTENSITY] = point[Params.INTENSITY] * expValDivPISigmaSquared;
//d()/dx
retVal[i][Params.X] = transformedPoint[Params.INTENSITY] * xd * expValDivPISigmaPowEight * 0.5;
//d()/dy
retVal[i][Params.Y] = transformedPoint[Params.INTENSITY] * yd * expValDivPISigmaPowEight * 0.5;
//d()/dsigma
retVal[i][Params.SIGMA] = transformedPoint[Params.INTENSITY] * expValDivPISigmaPowEight / point[Params.SIGMA] * (xd * xd + yd * yd - 2 * sigmaSquared);
//d()/dbkg
retVal[i][Params.OFFSET] = 2 * point[Params.OFFSET];
}
//IJ.log("numeric jacobian: " + Arrays.deepToString(SymmetricGaussianPSF.super.getJacobianFunction(xgrid, ygrid).value(point)));
//IJ.log("analytic jacobian: " + Arrays.deepToString(retVal));
return retVal;
}
};
}
开发者ID:zitmen，项目名称:thunderstorm，代码行数:37，代码来源:SymmetricGaussianPSF.java
示例14: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //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;
}
});
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:16，代码来源:CurveFitter.java
示例15: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
/**
* @return the model function Jacobian.
*/
public MultivariateMatrixFunction getModelFunctionJacobian() {
return new MultivariateMatrixFunction() {
public double[][] value(double[] p) {
final int len = points.length;
final double[][] jacobian = new double[len][];
for (int i = 0; i < len; i++) {
jacobian[i] = f.gradient(points[i], p);
}
return jacobian;
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:16，代码来源:AbstractCurveFitter.java
示例16: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getModelFunctionJacobian() {
return new MultivariateMatrixFunction() {
public double[][] value(double[] params) {
return factors.getData();
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:8，代码来源:AbstractLeastSquaresOptimizerAbstractTest.java
示例17: dummyJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
/** Used for testing direct vs lazy evaluation. */
private MultivariateMatrixFunction dummyJacobian() {
return new MultivariateMatrixFunction() {
public double[][] value(double[] p) {
throw new RuntimeException("dummyJacobian");
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:9，代码来源:EvaluationTest.java
示例18: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getModelFunctionJacobian() {
return 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;
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:30，代码来源:CircleVectorial.java
示例19: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getModelFunctionJacobian() {
return new MultivariateMatrixFunction() {
public double[][] value(double[] point) {
return jacobian(point);
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:8，代码来源:StraightLineProblem.java
示例20: getModelFunctionJacobian
import org.apache.commons.math3.analysis.MultivariateMatrixFunction; //导入依赖的package包/类
public MultivariateMatrixFunction getModelFunctionJacobian() {
return new MultivariateMatrixFunction() {
public double[][] value(double[] point) {
return computeJacobian(point);
}
};
}
开发者ID:Quanticol，项目名称:CARMA，代码行数:8，代码来源:MinpackTest.java
注：本文中的org.apache.commons.math3.analysis.MultivariateMatrixFunction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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