Examples of Jama.Matrix.svd()

Jama.Matrix.svd()
Singular Value Decomposition @return SingularValueDecomposition @see SingularValueDecomposition

        yVal += xVal;
        A.set(i, j, xVal / sd[i]);
      }
      b[i] = yVal / sd[i];
    }
    SVD = A.svd();
    U = (SVD.getU()).getArray();
    V = (SVD.getV()).getArray();
    w = SVD.getSingularValues();


    for (int j = 0; j <= order; j++) {

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            try_success("QRDecomposition...", "");
        } catch (java.lang.RuntimeException e) {
            errorCount = try_failure(errorCount, "QRDecomposition...",
                    "incorrect QR decomposition calculation");
        }
        SingularValueDecomposition SVD = A.svd();


        try {
            check(A, SVD.getU().times(SVD.getS().times(SVD.getV().transpose())));
            try_success("SingularValueDecomposition...", "");
        } catch (java.lang.RuntimeException e) {

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        }


    if (result==null) {


      Matrix m = new Matrix(matrix);
      SingularValueDecomposition svd = m.svd();
      Matrix sInv = svd.getS().inverse();


      int i = 0;
      while (i < svd.getS().getRowDimension() && svd.getS().get(i, i) > minSV && (nSV <= 0 || i < nSV)) {
                i++;

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