Package org.apache.commons.math.analysis

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

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        public double[] value(double[] variables) {
            return factors.operate(variables);
        }

        public MultivariateMatrixFunction jacobian() {
            return new MultivariateMatrixFunction() {
                private static final long serialVersionUID = 556396458721526234L;
                public double[][] value(double[] point) {
                    return factors.getData();
                }
            };
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            return residuals;

        }

        public MultivariateMatrixFunction jacobian() {
            return new MultivariateMatrixFunction() {
                private static final long serialVersionUID = -4340046230875165095L;
                public double[][] value(double[] point) {
                    return jacobian(point);
                }
            };
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            }
            return values;
        }

        public MultivariateMatrixFunction jacobian() {
            return new MultivariateMatrixFunction() {
                private static final long serialVersionUID = -8673650298627399464L;
                public double[][] value(double[] point) {
                    return jacobian(point);
                }
            };
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            this.f = f;
        }

        /** {@inheritDoc} */
        public MultivariateMatrixFunction jacobian() {
            return new MultivariateMatrixFunction() {
                public double[][] value(double[] point)
                    throws FunctionEvaluationException, IllegalArgumentException {

                    final double[][] jacobian = new double[observations.size()][];

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            this.f = f;
        }

        /** {@inheritDoc} */
        public MultivariateMatrixFunction jacobian() {
            return new MultivariateMatrixFunction() {
                public double[][] value(double[] point)
                    throws FunctionEvaluationException, IllegalArgumentException {

                    final double[][] jacobian = new double[observations.size()][];

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   * @return  Jacobian matrix
   */
  @Override
  public MultivariateMatrixFunction jacobian() {
   
    return new MultivariateMatrixFunction() {
     
      public double[][] value ( double[] params ) {

        // Set up jacobian and zero offset values
        double[][] jacobianMatrix = new double [valueDimension][params.length];
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  /* (non-Javadoc)
   * @see org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction#jacobian()
   */
  @Override
  public MultivariateMatrixFunction jacobian() {   
        return new MultivariateMatrixFunction() {
            public double[][] value(double[] inclination) {
           
            try {
              // Create new stellar source with input inclination angle
              StellarSource source0 = getStellarSource(
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Related Classes of org.apache.commons.math.analysis.MultivariateMatrixFunction

  • newExamples.ModelFunction
  • newExamples.ModelFunctionGOG
  • org.apache.commons.math.optimization.fitting.CurveFitter$TheoreticalValuesFunction
  • org.apache.commons.math.optimization.general.GaussNewtonOptimizerTest$Circle
  • org.apache.commons.math.optimization.general.GaussNewtonOptimizerTest$LinearProblem
  • org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizerTest$Circle
  • org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizerTest$LinearProblem
  • org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizerTest$QuadraticProblem
  • org.apache.commons.math.optimization.general.MinpackTest$MinpackFunction
  • org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizerTest$LinearProblem
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