Package org.ejml.simple

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

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            for( int numCols = 2; numCols < 10; numCols++ ) {
                // construct a matrix with a null space by decomposition a random matrix
                // and setting one of its singular values to zero
                SimpleMatrix A = SimpleMatrix.wrap(RandomMatrices.createRandom(numRows,numCols,rand));

                SingularValueDecomposition<DenseMatrix64F> svd = DecompositionFactory.svd(A.numRows(), A.numCols(),true,true,false);
                assertTrue(svd.decompose(A.getMatrix()));

                SimpleMatrix U = SimpleMatrix.wrap(svd.getU(null,false));
                SimpleMatrix S = SimpleMatrix.wrap(svd.getW(null));
                SimpleMatrix Vt = SimpleMatrix.wrap(svd.getV(null,true));
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                SimpleMatrix v = SimpleMatrix.wrap(SingularOps.nullVector(svd, true , null));

                // see if the returned vector really is the null space
                SimpleMatrix ns = A.mult(v);

                for( int i = 0; i < ns.numRows(); i++ ) {
                    assertEquals(0,ns.get(i),1e-8);
                }

                // Find the left null space
                v = SimpleMatrix.wrap(SingularOps.nullVector(svd, false , null));
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                v = SimpleMatrix.wrap(SingularOps.nullVector(svd, false , null));

                // see if the returned vector really is the null space
                ns = v.transpose().mult(A);

                for( int i = 0; i < ns.numRows(); i++ ) {
                    assertEquals(0,ns.get(i),1e-8);
                }
            }
        }
    }
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                // construct a matrix with a null space by decomposition a random matrix
                // and setting one of its singular values to zero
                SimpleMatrix A = SimpleMatrix.wrap(RandomMatrices.createRandom(numRows,numCols,rand));

                SingularValueDecomposition<DenseMatrix64F> svd = DecompositionFactory.svd(A.numRows(), A.numCols(),true,true,false);
                assertTrue(svd.decompose(A.getMatrix()));

                SimpleMatrix U = SimpleMatrix.wrap(svd.getU(null,false));
                SimpleMatrix S = SimpleMatrix.wrap(svd.getW(null));
                SimpleMatrix Vt = SimpleMatrix.wrap(svd.getV(null,true));
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                // make sure the null space is not all zero
                assertTrue( Math.abs(CommonOps.elementMaxAbs(ns.getMatrix())) > 0 );

                // check the null space's size
                assertEquals(ns.numRows(),A.numCols());
                assertEquals(ns.numCols(),1+Math.max(numCols-numRows,0));

                // see if the results are null
                SimpleMatrix found = A.mult(ns);
                assertTrue( Math.abs(CommonOps.elementMaxAbs(found.getMatrix())) <= 1e-15 );
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    public void convertSimple() {
        BlockMatrix64F A = BlockMatrixOps.createRandom(4,6,-1,1,rand,3);

        SimpleMatrix S = BlockMatrixOps.convertSimple(A);

        assertEquals(A.numRows,S.numRows());
        assertEquals(A.numCols,S.numCols());

        for( int i = 0; i < A.numRows; i++ ) {
            for( int j = 0; j < A.numCols; j++ ) {
                assertEquals(A.get(i,j),S.get(i,j),1e-8);
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    }
    SimpleTensor tensor = new SimpleTensor(slices);
    System.err.println("W tensor size: " + tensor.numRows() + "x" + tensor.numCols() + "x" + tensor.numSlices());

    SimpleMatrix W = loadMatrix(basePath + "bin/W.bin", basePath + "W.txt");
    System.err.println("W matrix size: " + W.numRows() + "x" + W.numCols());

    SimpleMatrix Wcat = loadMatrix(basePath + "bin/Wcat.bin", basePath + "Wcat.txt");
    System.err.println("W cat size: " + Wcat.numRows() + "x" + Wcat.numCols());

    SimpleMatrix combinedWV = loadMatrix(basePath + "bin/Wv.bin", basePath + "Wv.txt");
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    SimpleMatrix W = loadMatrix(basePath + "bin/W.bin", basePath + "W.txt");
    System.err.println("W matrix size: " + W.numRows() + "x" + W.numCols());

    SimpleMatrix Wcat = loadMatrix(basePath + "bin/Wcat.bin", basePath + "Wcat.txt");
    System.err.println("W cat size: " + Wcat.numRows() + "x" + Wcat.numCols());

    SimpleMatrix combinedWV = loadMatrix(basePath + "bin/Wv.bin", basePath + "Wv.txt");
    System.err.println("Word matrix size: " + combinedWV.numRows() + "x" + combinedWV.numCols());

    File vocabFile = new File(basePath + "vocab_1.txt");
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    SimpleMatrix Wcat = loadMatrix(basePath + "bin/Wcat.bin", basePath + "Wcat.txt");
    System.err.println("W cat size: " + Wcat.numRows() + "x" + Wcat.numCols());

    SimpleMatrix combinedWV = loadMatrix(basePath + "bin/Wv.bin", basePath + "Wv.txt");
    System.err.println("Word matrix size: " + combinedWV.numRows() + "x" + combinedWV.numCols());

    File vocabFile = new File(basePath + "vocab_1.txt");
    if (!vocabFile.exists()) {
      vocabFile = new File(basePath + "words.txt");
    }
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    }

    public SimpleMatrix extract() {
        SimpleMatrix ret = new SimpleMatrix(row1-row0,col1-col0);

        for( int i = 0; i < ret.numRows(); i++ ) {
            for( int j = 0; j < ret.numCols(); j++ ) {
                ret.set(i,j,get(i,j));
            }
        }
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