Package org.apache.commons.math3.linear

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

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        for (int r = 0; r < m.getRowDimension(); r++) {
            for (int c = 0; c < cols.length; c++) {
                d[r][c] = m.getEntry(r, cols[c]);
            }
        }
        return new Array2DRowRealMatrix(d, false);
    }
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        for (int r = 0; r < m.getRowDimension(); r++) {
            for (int c = 0; c < m.getColumnDimension(); c++) {
                d[r][c] = r <= c - k ? m.getEntry(r, c) : 0;
            }
        }
        return new Array2DRowRealMatrix(d, false);
    }
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            for (int r = 0; r < m.getRowDimension(); r++) {
                sum += m.getEntry(r, c);
            }
            d[0][c] = sum;
        }
        return new Array2DRowRealMatrix(d, false);
    }
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        if (m.getColumnDimension() == 1) {
            final double[][] d = new double[m.getRowDimension()][m.getRowDimension()];
            for (int i = 0; i < m.getRowDimension(); i++) {
                d[i][i] = m.getEntry(i, 0);
            }
            return new Array2DRowRealMatrix(d, false);
        } else {
            final double[][] d = new double[m.getRowDimension()][1];
            for (int i = 0; i < m.getColumnDimension(); i++) {
                d[i][0] = m.getEntry(i, i);
            }
            return new Array2DRowRealMatrix(d, false);
        }
    }
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    private static RealMatrix ones(int n, int m) {
        final double[][] d = new double[n][m];
        for (int r = 0; r < n; r++) {
            Arrays.fill(d[r], 1);
        }
        return new Array2DRowRealMatrix(d, false);
    }
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    public void testTransitionMeasurementMatrixMismatch() {
       
        // A and H matrix do not match in dimensions
       
        // A = [ 1 ]
        RealMatrix A = new Array2DRowRealMatrix(new double[] { 1d });
        // no control input
        RealMatrix B = null;
        // H = [ 1 1 ]
        RealMatrix H = new Array2DRowRealMatrix(new double[] { 1d, 1d });
        // Q = [ 0 ]
        RealMatrix Q = new Array2DRowRealMatrix(new double[] { 0 });
        // R = [ 0 ]
        RealMatrix R = new Array2DRowRealMatrix(new double[] { 0 });

        ProcessModel pm
            = new DefaultProcessModel(A, B, Q,
                                      new ArrayRealVector(new double[] { 0 }), null);
        MeasurementModel mm = new DefaultMeasurementModel(H, R);
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    public void testTransitionControlMatrixMismatch() {
       
        // A and B matrix do not match in dimensions
       
        // A = [ 1 ]
        RealMatrix A = new Array2DRowRealMatrix(new double[] { 1d });
        // B = [ 1 1 ]
        RealMatrix B = new Array2DRowRealMatrix(new double[] { 1d, 1d });
        // H = [ 1 ]
        RealMatrix H = new Array2DRowRealMatrix(new double[] { 1d });
        // Q = [ 0 ]
        RealMatrix Q = new Array2DRowRealMatrix(new double[] { 0 });
        // R = [ 0 ]
        RealMatrix R = new Array2DRowRealMatrix(new double[] { 0 });

        ProcessModel pm
            = new DefaultProcessModel(A, B, Q,
                                      new ArrayRealVector(new double[] { 0 }), null);
        MeasurementModel mm = new DefaultMeasurementModel(H, R);
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        double constantValue = 10d;
        double measurementNoise = 0.1d;
        double processNoise = 1e-5d;

        // A = [ 1 ]
        RealMatrix A = new Array2DRowRealMatrix(new double[] { 1d });
        // no control input
        RealMatrix B = null;
        // H = [ 1 ]
        RealMatrix H = new Array2DRowRealMatrix(new double[] { 1d });
        // x = [ 10 ]
        RealVector x = new ArrayRealVector(new double[] { constantValue });
        // Q = [ 1e-5 ]
        RealMatrix Q = new Array2DRowRealMatrix(new double[] { processNoise });
        // R = [ 0.1 ]
        RealMatrix R = new Array2DRowRealMatrix(new double[] { measurementNoise });

        ProcessModel pm
            = new DefaultProcessModel(A, B, Q,
                                      new ArrayRealVector(new double[] { constantValue }), null);
        MeasurementModel mm = new DefaultMeasurementModel(H, R);
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        // acceleration noise (meter/sec^2)
        double accelNoise = 0.2d;

        // A = [ 1 dt ]
        //     [ 0  1 ]
        RealMatrix A = new Array2DRowRealMatrix(new double[][] { { 1, dt }, { 0, 1 } });

        // B = [ dt^2/2 ]
        //     [ dt     ]
        RealMatrix B = new Array2DRowRealMatrix(
                new double[][] { { FastMath.pow(dt, 2d) / 2d }, { dt } });

        // H = [ 1 0 ]
        RealMatrix H = new Array2DRowRealMatrix(new double[][] { { 1d, 0d } });

        // x = [ 0 0 ]
        RealVector x = new ArrayRealVector(new double[] { 0, 0 });

        RealMatrix tmp = new Array2DRowRealMatrix(
                new double[][] { { FastMath.pow(dt, 4d) / 4d, FastMath.pow(dt, 3d) / 2d },
                                 { FastMath.pow(dt, 3d) / 2d, FastMath.pow(dt, 2d) } });

        // Q = [ dt^4/4 dt^3/2 ]
        //     [ dt^3/2 dt^2   ]
        RealMatrix Q = tmp.scalarMultiply(FastMath.pow(accelNoise, 2));

        // P0 = [ 1 1 ]
        //      [ 1 1 ]
        RealMatrix P0 = new Array2DRowRealMatrix(new double[][] { { 1, 1 }, { 1, 1 } });

        // R = [ measurementNoise^2 ]
        RealMatrix R = new Array2DRowRealMatrix(
                new double[] { FastMath.pow(measurementNoise, 2) });

        // constant control input, increase velocity by 0.1 m/s per cycle
        RealVector u = new ArrayRealVector(new double[] { 0.1d });
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                                new ArrayRealVector(
                                        new double[]{
                                                FastMath.pow(point.getEntry(0), 4)
                                        },
                                        false),
                                new Array2DRowRealMatrix(
                                        new double[][]{
                                                {0.25 * FastMath.pow(point.getEntry(0), 3)}
                                        },
                                        false)
                        );
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