/** * Constructs and returns the LU-decomposition of the given matrix. */ public DenseDoubleLUDecomposition lu(DoubleMatrix2D matrix) { return new DenseDoubleLUDecomposition(matrix); }
/** * Constructs and returns the LU-decomposition of the given matrix. */ public DenseDoubleLUDecomposition lu(DoubleMatrix2D matrix) { return new DenseDoubleLUDecomposition(matrix); }
lu = new DenseDoubleLUDecomposition(matrix); } catch (IllegalArgumentException exc) { buf.append("\n\n" + constructionException + " LUDecomposition: " + exc.getMessage());
lu = new DenseDoubleLUDecomposition(matrix); } catch (IllegalArgumentException exc) { buf.append("\n\n" + constructionException + " LUDecomposition: " + exc.getMessage());
public Matrix[] lu() { if (getRowCount() >= getColumnCount()) { DenseDoubleLUDecomposition lu = new DenseDoubleLUDecomposition(matrix); Matrix l = new ParallelColtDenseDoubleMatrix2D(lu.getL()); Matrix u = new ParallelColtDenseDoubleMatrix2D(lu.getU().viewPart(0, 0, (int) getColumnCount(), (int) getColumnCount())); int m = (int) getRowCount(); int[] piv = lu.getPivot(); Matrix p = new ParallelColtDenseDoubleMatrix2D(m, m); for (int i = 0; i < m; i++) { p.setAsDouble(1, i, piv[i]); } return new Matrix[] { l, u, p }; } else { throw new RuntimeException("only supported for matrices m>=n"); } }
public Matrix[] lu() { if (getRowCount() >= getColumnCount()) { DenseDoubleLUDecomposition lu = new DenseDoubleLUDecomposition(matrix); Matrix l = new ParallelColtDenseDoubleMatrix2D(lu.getL()); Matrix u = new ParallelColtDenseDoubleMatrix2D(lu.getU().viewPart(0, 0, (int) getColumnCount(), (int) getColumnCount())); int m = (int) getRowCount(); int[] piv = lu.getPivot(); Matrix p = new ParallelColtDenseDoubleMatrix2D(m, m); for (int i = 0; i < m; i++) { p.setAsDouble(1, i, piv[i]); } return new Matrix[] { l, u, p }; } else { throw new RuntimeException("only supported for matrices m>=n"); } }