Package mikera.matrixx

Examples of mikera.matrixx.Matrix.scale()

80
81
82
83
84
85
86
87
88
89
90
     */
    @Test
    public void checkQuality_scale() {
        Matrix A = DiagonalMatrix.create(4,3,2,1).toMatrix();
        Matrix Asmall = A.copy();
        Asmall.scale(0.01);

        LUSolver solver = new LUSolver();
       
        assertNotNull(solver.setA(A));
        double q;
View Full Code Here
102
103
104
105
106
107
108
109
110
111
112
     */
    @Test
    public void checkQuality_scale() {
        Matrix A = DiagonalMatrix.create(4,3,2,1).toMatrix();
        Matrix Asmall = A.copy();
        Asmall.scale(0.01);

        QRHouseColSolver solver = new QRHouseColSolver();

        assertTrue(solver.setA(A));
        double q;
View Full Code Here
83
84
85
86
87
88
89
90
91
92
93
    }

    public void testWide() {
        Matrix A = Matrix.createRandom(1,1);
        A.sub(0.5);
        A.scale(2);
        SvdImplicitQr alg = createSvd();
        assertNotNull(alg._decompose(A));

        checkComponents(alg,A);
    }
View Full Code Here
93
94
95
96
97
98
99
100
101
102
103
    }

    public void testTall() {
        Matrix A = Matrix.createRandom(21,5);
        A.sub(0.5);
        A.scale(2);

        SvdImplicitQr alg = createSvd();
        assertNotNull(alg._decompose(A));

        checkComponents(alg,A);
View Full Code Here
138
139
140
141
142
143
144
145
146
147
148
     * cause a zero to appear unexpectedly and thus a divided by zero.
     */
    public void testVerySmallValue() {
        Matrix A = Matrix.createRandom(5,5);
        A.sub(0.5);
        A.scale(2);

        A.scale(1e-200);

        SvdImplicitQr alg = createSvd();
        assertNotNull(alg._decompose(A));
View Full Code Here
140
141
142
143
144
145
146
147
148
149
150
    public void testVerySmallValue() {
        Matrix A = Matrix.createRandom(5,5);
        A.sub(0.5);
        A.scale(2);

        A.scale(1e-200);

        SvdImplicitQr alg = createSvd();
        assertNotNull(alg._decompose(A));

        checkComponents(alg,A);
View Full Code Here
156
157
158
159
160
161
162
163
164
165
166
        for( int i = 1; i < 8; i+=2 ) {
            for( int j = 1; j < 8; j+=2 ) {
                Matrix A = Matrix.createRandom(i,j);
                A.sub(0.5);
                A.scale(2);

                assertNotNull(alg._decompose(A));

                checkComponents(alg,A);
            }
View Full Code Here
70
71
72
73
74
75
76
77
78
79
80
       
        U.set(0,0,1); // this is not explicity set and is assumed to be 1
        Matrix I = Matrix.createIdentity(width-w);
//        SimpleMatrix Q = I.minus(U.mult(U.transpose()).scale(qr.getGamma()));
        Matrix temp1 = Multiplications.multiply(U, U.getTranspose());
        temp1.scale(qr.getGamma());
        I.sub(temp1);
        Matrix Q = I;


        // check the expected properties of Q
View Full Code Here
171
172
173
174
175
176
177
178
179
180
181
     * Makes sure transposed flag is correctly handled.
     */
    public void checkGetU_Transpose() {
        Matrix A = Matrix.createRandom(5, 7);
        A.sub(0.5);
        A.scale(2);

        SvdImplicitQr alg = createSvd();
        assertNotNull(alg._decompose(A));

        Matrix U = alg.getU().toMatrix();
View Full Code Here
195
196
197
198
199
200
201
202
203
204
205
        SvdImplicitQr alg = createSvd();

        // first the larger one
        Matrix A = Matrix.createRandom(10,10);
        A.sub(0.5);
        A.scale(2);
        assertNotNull(alg._decompose(A));
        checkComponents(alg,A);

        // then the smaller one
        A = Matrix.createRandom(5,5);
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.