Examples of transpose()

Examples of org.ejml.simple.SimpleMatrix.transpose()

61
62
63
64
65
66
67
68
69
70
71
//        V.print();

//        U.mult(A).mult(V).print();

        // check the decomposition
        DenseMatrix64F foundA = U.mult(B).mult(V.transpose()).getMatrix();

//        A.print();
//        foundA.print();

        assertTrue(MatrixFeatures.isIdentical(A.getMatrix(),foundA,1e-8));
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

98
99
100
101
102
103
104
105
106
107
108
        // check the full version
        SimpleMatrix U = SimpleMatrix.wrap(decomp.getU(null,false,false));
        SimpleMatrix B = SimpleMatrix.wrap(decomp.getB(null,false));
        SimpleMatrix V = SimpleMatrix.wrap(decomp.getV(null,false,false));

        DenseMatrix64F foundA = U.mult(B).mult(V.transpose()).getMatrix();

        assertTrue(MatrixFeatures.isIdentical(a,foundA,1e-8));

        //       check with transpose
        SimpleMatrix Ut = SimpleMatrix.wrap(decomp.getU(null,true,false));
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

114
115
116
117
118
119
120
121
122
123
124
        SimpleMatrix I = SimpleMatrix.identity(width-w);
        SimpleMatrix Q = I.minus(U.mult(U.transpose()).scale(qr.getGamma()));


        // check the expected properties of Q
        assertTrue(Q.isIdentical(Q.transpose(),1e-6));
        assertTrue(Q.isIdentical(Q.invert(),1e-6));

        SimpleMatrix result = Q.mult(A.extractMatrix(w,width,w,width));

        for( int i = 1; i < width-w; i++ ) {
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

112
113
114
115
116
117
118
119
120
121
122
                if( i+1 < A.numCols())
                    v.set(i+1,1);

                SimpleMatrix z = v.transpose().plus(W.transpose().mult(Y.mult(v.transpose()))).scale(-betas[i]);

                W = W.combine(i,0,z.transpose());
                Y = Y.combine(i,0,v);
            }

            // now compute it using the block matrix stuff
            BlockMatrix64F Ab = BlockMatrixOps.convert(A.getMatrix(),r);
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

137
138
139
140
141
142
143
144
145
146
147
        // try different offsets to make sure there are no implicit assumptions
        for( int offX = 0; offX <= r; offX += r) {
            for( int offY = 0; offY <= r; offY += r) {
                SimpleMatrix A = SimpleMatrix.random(2*r+2,2*r+2,-1,1,rand);
                A = A.mult(A.transpose());
                SimpleMatrix A_orig = A.copy();
                SimpleMatrix V = SimpleMatrix.random(r,A.numCols(),-1,1,rand);

                D1Submatrix64F Ab = insertIntoBlock(offY,offX,A,r);
                D1Submatrix64F Vb = insertIntoBlock(0,offX,V,r);
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

156
157
158
159
160
161
162
163
164
165
166
                    for( int j = 0; j <= i; j++ ) {
                        u.set(j,0.0);
                    }
                    u.set(i+1,1.0);

                    A = A.plus(u.mult(v.transpose())).plus(v.mult(u.transpose()));
                }
                // apply the reflector to that row
                TridiagonalBlockHelper.applyReflectorsToRow(r,Ab,Vb,row);

                // compare to manually computed solution
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

182
183
184
185
186
187
188
189
190
191
192
    @Test
    public void multA_u() {
        SimpleMatrix A = SimpleMatrix.random(2*r+2,2*r+2,-1,1,rand);
        // make a symmetric so that this mult will work
        A = A.transpose().mult(A);

        BlockMatrix64F Ab = BlockMatrixOps.convert(A.getMatrix(),r);
        BlockMatrix64F V = new BlockMatrix64F(r,Ab.numCols,r);

        int row = 1;
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

414
415
416
417
418
419
420
421
422
423
424
    }
    SimpleMatrix currentVector = nodeVectors.get(tree);
    SimpleMatrix currentVectorDerivative = NeuralUtils.elementwiseApplyTanhDerivative(currentVector);

    SimpleMatrix scoreW = dvModel.getScoreWForNode(tree);
    currentVectorDerivative = currentVectorDerivative.elementMult(scoreW.transpose());

    // the delta that is used at the current nodes
    SimpleMatrix deltaCurrent = deltaUp.plus(currentVectorDerivative);
    SimpleMatrix W = dvModel.getWForNode(tree);
    SimpleMatrix WTdelta = W.transpose().mult(deltaCurrent);
View Full Code Here

Examples of org.ejml.simple.SimpleMatrix.transpose()

211
212
213
214
215
216
217
218
219
220
221
     * Check by performing the calculation manually
     */
    @Test
    public void computeY() {
        SimpleMatrix A = SimpleMatrix.random(2*r+2,2*r+2,-1,1,rand);
        A = A.transpose().mult(A); // needs to be symmetric to pass
        SimpleMatrix Vo = SimpleMatrix.random(r,A.numCols(),-1,1,rand);

        for( int row = 0; row < r; row++ ) {
            SimpleMatrix AA = A.copy();
            SimpleMatrix u = A.extractVector(true,row).transpose();
View Full Code Here

Examples of org.geotools.referencing.operation.matrix.GeneralMatrix.transpose()

307
308
309
310
311
312
313
314
315
316
317
            GeneralMatrix A = getA();
            GeneralMatrix l = getL();

            GeneralMatrix AT = A.clone();
            AT.transpose();

            GeneralMatrix ATA = new GeneralMatrix(6, 6);
            GeneralMatrix ATl = new GeneralMatrix(6, 1);

            ATA.mul(AT, A);
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.