Examples of RectangularCholeskyDecomposition

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

90
91
92
93
94
95
96
97
98
99
100
101
102
        if (mean.length != order) {
            throw new DimensionMismatchException(mean.length, order);
        }
        this.mean = mean.clone();

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
        root = decomposition.getRootMatrix();

        this.generator = generator;
        normalized = new double[decomposition.getRank()];

    }
View Full Code Here

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

119
120
121
122
123
124
125
126
127
128
129
130
131
        mean = new double[order];
        for (int i = 0; i < order; ++i) {
            mean[i] = 0;
        }

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
        root = decomposition.getRootMatrix();

        this.generator = generator;
        normalized = new double[decomposition.getRank()];

    }
View Full Code Here

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

91
92
93
94
95
96
97
98
99
100
101
102
103
        if (mean.length != order) {
            throw new DimensionMismatchException(mean.length, order);
        }
        this.mean = mean.clone();

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
        root = decomposition.getRootMatrix();

        this.generator = generator;
        normalized = new double[decomposition.getRank()];

    }
View Full Code Here

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

120
121
122
123
124
125
126
127
128
129
130
131
132
        mean = new double[order];
        for (int i = 0; i < order; ++i) {
            mean[i] = 0;
        }

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
        root = decomposition.getRootMatrix();

        this.generator = generator;
        normalized = new double[decomposition.getRank()];

    }
View Full Code Here

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

91
92
93
94
95
96
97
98
99
100
101
102
103
        if (mean.length != order) {
            throw new DimensionMismatchException(mean.length, order);
        }
        this.mean = mean.clone();

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
        root = decomposition.getRootMatrix();

        this.generator = generator;
        normalized = new double[decomposition.getRank()];

    }
View Full Code Here

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

120
121
122
123
124
125
126
127
128
129
130
131
132
        mean = new double[order];
        for (int i = 0; i < order; ++i) {
            mean[i] = 0;
        }

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
        root = decomposition.getRootMatrix();

        this.generator = generator;
        normalized = new double[decomposition.getRank()];

    }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
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.