Examples of ModelFunctionJacobian

org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
Jacobian of the model (vector) function to be optimized. @since 3.1 @deprecated All classes and interfaces in this package are deprecated.The optimizers that were provided here were moved to the {@link org.apache.commons.math3.fitting.leastsquares} package(cf. MATH-1008).

Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                    }
                });
        }


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

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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                }
            });
    }


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

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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                }
            });
    }


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

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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                    }
                });
        }


        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++) {

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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                    }
                });
        }


        public ModelFunctionJacobian getModelFunctionJacobian() {
            return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
                    public double[][] value(double[] params) {                    
                        double[][] jacobian = new double[x.size()][3];
                        for (int i = 0; i < jacobian.length; ++i) {
                            jacobian[i][0] = x.get(i) * x.get(i);
                            jacobian[i][1] = x.get(i);

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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                    }
                });
        }


        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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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                }
        });
    }


    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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Examples of org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian

                    }
                });
        }


        public ModelFunctionJacobian getModelFunctionJacobian() {
            return new ModelFunctionJacobian(new MultivariateMatrixFunction() {
                    public double[][] value(double[] params) {
                        return factors.getData();
                    }
                });
        }

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