public override BenchmarkResult Run(BenchmarkSetup config)
{
int rows = config.RowCount;
int cols = config.ColumnCount;
int repeat = config.Repeat;
double density = config.Density;
bool symmetric = config.Symmetric;
var A = Create.SparseMatrix(rows, cols, density, symmetric);
var S = CreateSparse.RandomSymmetric(4, 0.5);
var result = new BenchmarkResult();
Util.Tic();
var B = S.FastKroneckerProduct(A);
result.Time2 = Util.Toc();
Util.Tic();
var C = S.KroneckerProduct(A);
result.Time1 = Util.Toc();
result.Success = MatrixComparer.Equals(B, C, EPS);
return(result);
}
public static SparseMatrix SparseMatrix(int rows, int columns, double density, bool symmetric)
{
if (symmetric)
{
return(CreateSparse.RandomSymmetric(rows, density));
}
return(CreateSparse.Random(rows, columns, density));
}
public static IStorageAdapter CreateRandom(int rowCount, int columnCount,
double density, bool symmetric)
{
var A = symmetric ? CreateSparse.RandomSymmetric(rowCount, density) :
CreateSparse.Random(rowCount, columnCount, density);
var norms = ToComplexArray((2 * A.RowNorms(1)).ToArray());
A.FastAddDiagonalMatrix(norms, A);
return(new SparseStorageAdapter(A));
}
