buf.append(String.valueOf(this.getV())); } catch (IllegalArgumentException exc) { buf.append(unknown + exc.getMessage());
buf.append(String.valueOf(this.getV())); } catch (IllegalArgumentException exc) { buf.append(unknown + exc.getMessage());
DoubleMatrix2D S = s.getS(); @SuppressWarnings("unused") DoubleMatrix2D V = s.getV();
public Matrix[] svd() { DenseDoubleSingularValueDecomposition svd = new DenseDoubleSingularValueDecomposition(matrix, true, false); Matrix u = new ParallelColtDenseDoubleMatrix2D(svd.getU()); Matrix s = new ParallelColtDenseDoubleMatrix2D(svd.getS()); Matrix v = new ParallelColtDenseDoubleMatrix2D(svd.getV()); return new Matrix[] { u, s, v }; }
public Matrix[] svd() { DenseDoubleSingularValueDecomposition svd = new DenseDoubleSingularValueDecomposition(matrix, true, false); Matrix u = new ParallelColtDenseDoubleMatrix2D(svd.getU()); Matrix s = new ParallelColtDenseDoubleMatrix2D(svd.getS()); Matrix v = new ParallelColtDenseDoubleMatrix2D(svd.getV()); return new Matrix[] { u, s, v }; }
@Override public long process(BenchmarkMatrix[] inputs, BenchmarkMatrix[] outputs, long numTrials) { DoubleMatrix2D matA = inputs[0].getOriginal(); DenseDoubleAlgebra alg = new DenseDoubleAlgebra(); DoubleMatrix2D U = null; DoubleMatrix2D S = null; DoubleMatrix2D V = null; long prev = System.nanoTime(); // There are two SVD algorithms. Piotr Wendykier said this one is faster. for( long i = 0; i < numTrials; i++ ) { DenseDoubleSingularValueDecomposition s = alg.svd(matA); U = s.getU(); S = s.getS(); V = s.getV(); } long elapsedTime = System.nanoTime()-prev; if( outputs != null ) { outputs[0] = new PColtBenchmarkMatrix(U); outputs[1] = new PColtBenchmarkMatrix(S); outputs[2] = new PColtBenchmarkMatrix(V); } return elapsedTime; } }
Ub = svd.getU(); sv = svd.getSingularValues(); Vb = svd.getV(); if (regMethod == HyBRRegularizationMethod.ADAPTWGCV) { work = new DenseDoubleMatrix1D(Ub.rows());
Ub = svd.getU(); sv = svd.getSingularValues(); Vb = svd.getV(); if (regMethod == HyBRRegularizationMethod.ADAPTWGCV) { work = new DenseDoubleMatrix1D(Ub.rows());