
Hello,
I tried to use SparseMatrix of Complex type with an iterative solver and get an OutOfMemory exception. I haven't looked at your code, but I guess the iterative solvers shouldn't call any ToArray methods.
My matrix has a size of approx. 31500x31500, so making it an array is probably no good idea :)
Here's the exception
at MathNet.Numerics.LinearAlgebra.Generic.Matrix`1.ToArray()
at MathNet.Numerics.LinearAlgebra.Complex.Solvers.Preconditioners.IncompleteLU.Initialize(Matrix`1 matrix)
at MathNet.Numerics.LinearAlgebra.Complex.Solvers.Iterative.BiCgStab.Solve(Matrix`1 matrix, Vector`1 input, Vector`1 result)
at MathNet.Numerics.LinearAlgebra.Complex.Solvers.Iterative.BiCgStab.Solve(Matrix`1 matrix, Vector`1 vector)
Since I use sparse matrices a lot:
Is there a way to iterate just the nonzero entries (getting column, row and value in each iteration)?
Is there a way, to check the symmetry of the sparse matrix, without having to iterate all rows and columns?
Thanks,
Chris



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Hi Chris,
>My matrix has a size of approx. 31500x31500, so making it an array is probably no good idea :)
That was implemented poorly. I'll rework it later this week.
>Is there a way to iterate just the nonzero entries (getting column, row and value in each iteration)?
>Is there a way, to check the symmetry of the sparse matrix, without having to iterate all rows and columns?
I've created work items for these. I'll get to them in a couple weeks.
For the first, you could use the RowEnumerator that returns a row, vector KeyValuePair (should that be changed to a tuple?). Then use the IndexedEnumerator on the vector  returns a index, value pair. So indirectly you'd be able to iterate over all the nonzero
elements. The IndexedEnumerator would work better.
Regards,
Marcus


Dec 20, 2010 at 5:58 PM
Edited Dec 20, 2010 at 5:59 PM

Thanks again.
The following code will plot the sparsity pattern to a bitmap:
private Bitmap Spy(SparseMatrix m)
{
// Size of the bitmap
int size = 500;
// Create bitmap
Bitmap bmp = new Bitmap(size, size);
// Fill background
Graphics g = Graphics.FromImage(bmp);
g.Clear(Color.White);
g.Dispose();
// Size of the matrix
int N = m.ColumnCount;
var rows = m.RowEnumerator();
foreach (var row in rows)
{
var nonzeros = row.Value.GetIndexedEnumerator();
foreach (var col in nonzeros)
{
bmp.SetPixel((col.Key * size) / N, (row.Key * size) / N, Color.Black);
}
}
return bmp;
}
Unfortunately, the performance isn't quite what I expected. My 31500x31500 matrix has ~220000 nonzeros. The loops take about 150 seconds on my pc. That's pretty much!
Is there a way to speed things up?
Regards,
Chris



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The problem seems to be that we haven't optimized the Row/ColumnEnumerators for sparse matrices. I've added a work item. I'll implement the IndexedEnumerator first since it will perform better than an optimized version of RowEnumerator.
Regards,
Marcus



wo80 wrote:
Hello,
I tried to use SparseMatrix of Complex type with an iterative solver and get an OutOfMemory exception. I haven't looked at your code, but I guess the iterative solvers shouldn't call any ToArray methods.
My matrix has a size of approx. 31500x31500, so making it an array is probably no good idea :)
Here's the exception
at MathNet.Numerics.LinearAlgebra.Generic.Matrix`1.ToArray()
at MathNet.Numerics.LinearAlgebra.Complex.Solvers.Preconditioners.IncompleteLU.Initialize(Matrix`1 matrix)
at MathNet.Numerics.LinearAlgebra.Complex.Solvers.Iterative.BiCgStab.Solve(Matrix`1 matrix, Vector`1 input, Vector`1 result)
at MathNet.Numerics.LinearAlgebra.Complex.Solvers.Iterative.BiCgStab.Solve(Matrix`1 matrix, Vector`1 vector)
Fixed in commit 029c2bbc44e4.

