Searched refs:jacobian (Results 1 – 10 of 10) sorted by relevance
290 jacobian[k * cols + pk] = diagR[pk]; in estimate()324 sum += jacobian[index] * residuals[i]; in estimate()390 work1[i] += jacobian[index] * dirJ; in estimate()513 lmDir[permutation[i]] -= ypk * jacobian[index]; in determineLMParameter()551 sum += jacobian[index] * work1[permutation[i]]; in determineLMParameter()568 sum += jacobian[index] * qy[i]; in determineLMParameter()629 work1[permutation[i]] -= jacobian[i * cols + pj] * tmp; in determineLMParameter()680 jacobian[i * cols + pj] = jacobian[j * cols + permutation[i]]; in determineLMDirection()711 double rkk = jacobian[k * cols + pk]; in determineLMDirection()724 jacobian[k * cols + pk] = cos * rkk + sin * lmDiag[k]; in determineLMDirection()[all …]
58 protected double[] jacobian; field in AbstractEstimator128 Arrays.fill(jacobian, 0); in updateJacobian()134 jacobian[index++] = factor * wm.getPartial(parameters[j]); in updateJacobian()229 sum += jacobian[k + i] * jacobian[k + j]; in getCovariances()294 jacobian = new double[rows * cols]; in initializeEstimate()
73 : m_values(other.values()), m_jacobian(other.jacobian()) in AutoDiffVector()77 : m_values(other.values()), m_jacobian(other.jacobian()) in AutoDiffVector()84 m_jacobian = other.jacobian();91 m_jacobian = other.jacobian();98 inline const JacobianType& jacobian() const { return m_jacobian; } in jacobian() function99 inline JacobianType& jacobian() { return m_jacobian; } in jacobian() function111 m_jacobian + other.jacobian());119 m_jacobian += other.jacobian();133 m_jacobian - other.jacobian());141 m_jacobian -= other.jacobian();[all …]
60 protected double[][] jacobian; field in AbstractLeastSquaresOptimizer192 jacobian = jF.value(point); in updateJacobian()193 if (jacobian.length != rows) { in updateJacobian()195 jacobian.length, rows); in updateJacobian()198 final double[] ji = jacobian[i]; in updateJacobian()343 jF = f.jacobian(); in optimize()352 jacobian = new double[rows][cols]; in optimize()
84 final double[] grad = jacobian[i]; in doOptimize()
163 public MultivariateMatrixFunction jacobian() { in jacobian() method in CurveFitter.TheoreticalValuesFunction168 final double[][] jacobian = new double[observations.size()][]; in jacobian()172 jacobian[i++] = f.gradient(observed.getX(), point); in jacobian()175 return jacobian; in jacobian()
34 MultivariateMatrixFunction jacobian(); in jacobian() method
136 void operator() (const T1 &input, T2 *output, T3 *jacobian, const Scalar dt) const in operator ()()144 if (jacobian) in operator ()()146 T3 &j = *jacobian; in operator ()()
61 * of the jacobian if ever).78 * Both algorithms can use either the jacobian (provided by the user) or compute
223 JacobianType& jacobian() {return m_fjac; } in jacobian() function