List of operate() Examples

Examples of operate()

com.scaleunlimited.helpful.operations.MboxSplitterFunction.operate()
com.sun.corba.se.spi.orb.Operation.operate()
Apply some function to a value and return the result.
edu.pku.sei.metric.analyzer.math.MathOperator.operate()
Do the math operation on the metric values and set to the metric element @param metricElement @param descriptor
org.apache.commons.math.linear.Array2DRowRealMatrix.operate()
{@inheritDoc}
org.apache.commons.math.linear.RealMatrix.operate()
Returns the result of multiplying this by the vector v. @param v the vector to operate on @return this*v @throws IllegalArgumentException if columnDimension != v.size()
org.apache.commons.math3.linear.Array2DRowRealMatrix.operate()
{@inheritDoc}
org.apache.commons.math3.linear.RealMatrix.operate()
Returns the result of multiplying this by the vector v. @param v the vector to operate on @return this*v @throws IllegalArgumentException if columnDimension != v.size()
org.springframework.expression.OperatorOverloader.operate()
Execute the specified operation on two operands, returning a result. See {@link Operation} for supported operations. @param operation the operation to be performed @param leftOperand the left operand @param rightOperand the right operand @return the result of performing the operation on the two operands @throws EvaluationException if there is a problem performing the operation

Examples of org.apache.commons.math3.linear.Array2DRowRealMatrix.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),

View Full Code Here

Examples of org.apache.commons.math3.linear.Array2DRowRealMatrix.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),

View Full Code Here

Examples of org.apache.commons.math3.linear.Array2DRowRealMatrix.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);

View Full Code Here

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

View Full Code Here

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

View Full Code Here

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);

View Full Code Here

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);
        optimizer.setSimplex(new NelderMeadSimplex(2));
        PointValuePair optimum =

View Full Code Here

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);
        optimizer.setSimplex(new NelderMeadSimplex(2));
        PointValuePair optimum =

View Full Code Here

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);

View Full Code Here

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);

View Full Code Here

0 1 2 3 4 5

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.