Examples of operate()


Examples of org.apache.commons.math3.linear.RealMatrix.operate()

        // K(k) = P(k)- * H' * S^-1
        RealMatrix kalmanGain = errorCovariance.multiply(measurementMatrixT).multiply(invertedS);

        // update estimate with measurement z(k)
        // xHat(k) = xHat(k)- + K * Inn
        stateEstimation = stateEstimation.add(kalmanGain.operate(innovation));

        // update covariance of prediction error
        // P(k) = (I - K * H) * P(k)-
        RealMatrix identity = MatrixUtils.createRealIdentityMatrix(kalmanGain.getRowDimension());
        errorCovariance = identity.subtract(kalmanGain.multiply(measurementMatrix)).multiply(errorCovariance);
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

            final PointVectorValuePair previous = current;

            // QR decomposition of the jacobian matrix
            qrDecomposition(computeWeightedJacobian(currentPoint));

            weightedResidual = weightMatrixSqrt.operate(currentResiduals);
            for (int i = 0; i < nR; i++) {
                qtf[i] = weightedResidual[i];
            }

            // compute Qt.res
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

            final PointVectorValuePair previous = current;

            // QR decomposition of the jacobian matrix
            qrDecomposition(computeWeightedJacobian(currentPoint));

            weightedResidual = weightMatrixSqrt.operate(currentResiduals);
            for (int i = 0; i < nR; i++) {
                qtf[i] = weightedResidual[i];
            }

            // compute Qt.res
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

                    { 1, 0 },
                    { 0, 1 }
                }, false);
        LeastSquaresConverter ls = new LeastSquaresConverter(new MultivariateVectorFunction() {
                public double[] value(double[] variables) {
                    return factors.operate(variables);
                }
            }, new double[] { 2.0, -3.0 });
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-6);
        PointValuePair optimum =
            optimizer.optimize(new MaxEval(200),
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

                    { 1, 0 },
                    { 0, 1 }
                }, false);
        LeastSquaresConverter ls = new LeastSquaresConverter(new MultivariateVectorFunction() {
                public double[] value(double[] variables) {
                    return factors.operate(variables);
                }
            }, new double[] { 2, -3 }, new double[] { 10, 0.1 });
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-6);
        PointValuePair optimum =
            optimizer.optimize(new MaxEval(200),
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

                    { 1, 0 },
                    { 0, 1 }
                }, false);
        LeastSquaresConverter ls = new LeastSquaresConverter(new MultivariateVectorFunction() {
                public double[] value(double[] variables) {
                    return factors.operate(variables);
                }
            }, new double[] { 2, -3 }, new Array2DRowRealMatrix(new double [][] {
                    { 1, 1.2 }, { 1.2, 2 }
                }));
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-6);
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

            final PointVectorValuePair previous = current;

            // QR decomposition of the jacobian matrix
            qrDecomposition(computeWeightedJacobian(currentPoint));

            weightedResidual = weightMatrixSqrt.operate(currentResiduals);
            for (int i = 0; i < nR; i++) {
                qtf[i] = weightedResidual[i];
            }

            // compute Qt.res
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Examples of org.apache.commons.math3.linear.RealMatrix.operate()

            final PointVectorValuePair previous = current;

            // QR decomposition of the jacobian matrix
            qrDecomposition(computeWeightedJacobian(currentPoint));

            weightedResidual = weightMatrixSqrt.operate(currentResiduals);
            for (int i = 0; i < nR; i++) {
                qtf[i] = weightedResidual[i];
            }

            // compute Qt.res
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Examples of org.springframework.expression.OperatorOverloader.operate()

  }

  public TypedValue operate(Operation op, Object left, Object right) throws EvaluationException {
    OperatorOverloader overloader = this.relatedContext.getOperatorOverloader();
    if (overloader.overridesOperation(op, left, right)) {
      Object returnValue = overloader.operate(op, left, right);
      return new TypedValue(returnValue);
    }
    else {
      String leftType = (left==null?"null":left.getClass().getName());
      String rightType = (right==null?"null":right.getClass().getName());
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Examples of org.springframework.expression.OperatorOverloader.operate()

  }

  public TypedValue operate(Operation op, Object left, Object right) throws EvaluationException {
    OperatorOverloader overloader = this.relatedContext.getOperatorOverloader();
    if (overloader.overridesOperation(op, left, right)) {
      Object returnValue = overloader.operate(op, left, right);
      return new TypedValue(returnValue);
    }
    else {
      String leftType = (left==null?"null":left.getClass().getName());
      String rightType = (right==null?"null":right.getClass().getName());
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