Package org.apache.commons.math3.analysis

Examples of org.apache.commons.math3.analysis.MultivariateMatrixFunction

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                }
            });
    }

    public ModelFunctionJacobian getModelFunctionJacobian() {
        return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
                public double[][] value(double[] point) {
                    return jacobian(point);
                }
        });
    }
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                }
        });
    }

    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;
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                }
            };
        }

        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);
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                    }
                });
        }

        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);
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                                   return new double[] {
                                       FastMath.pow(point[0], 4)
                                   };
                               }
                           }),
                       new ModelFunctionJacobian(new MultivariateMatrixFunction() {
                               public double[][] value(double[] point) {
                                   return new double[][] {
                                       { 0.25 * FastMath.pow(point[0], 3) }
                                   };
                               }
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                    }
                });
        }

        public ModelFunctionJacobian getModelFunctionJacobian() {
            return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
                    public double[][] value(double[] point) {
                        return factors.getData();
                    }
                });
        }
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            this.f = f;
        }

        /** {@inheritDoc} */
        public MultivariateMatrixFunction jacobian() {
            return new MultivariateMatrixFunction() {
                public double[][] value(double[] point) {
                    final double[][] jacobian = new double[observations.size()][];

                    int i = 0;
                    for (WeightedObservedPoint observed : observations) {
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        /**
         * @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);
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        /**
         * @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);
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                                   return new double[] {
                                       FastMath.pow(point[0], 4)
                                   };
                               }
                           }),
                       new ModelFunctionJacobian(new MultivariateMatrixFunction() {
                               public double[][] value(double[] point) {
                                   return new double[][] {
                                       { 0.25 * FastMath.pow(point[0], 3) }
                                   };
                               }
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Related Classes of org.apache.commons.math3.analysis.MultivariateMatrixFunction

  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.MultivariateFunction
  • org.apache.commons.math3.analysis.QuinticFunction
  • org.apache.commons.math3.analysis.solvers.BrentSolver
  • org.apache.commons.math3.analysis.UnivariateFunction
  • org.apache.commons.math3.complex.Complex
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