Welcome to our official feedback forum. Do you have an idea? Do you recognize a good idea when you see one? We want to hear from you!
-
61 votes
-
48 votes
-
25 votes
Provide principle component analysis
Extend the linear algebra part with PCA using either Singular Value Decomposition or Eigenvalue Decomposition. Easy implementation, great value!
Status: under review -
19 votes
-
16 votes
Reintegrate the Sparse Linear Algebra toolkit
Iridium once supported sparse linear algebra (for a very short time) but then it was temporarily removed because of some issues. Solve them and integrate it back.
Status: planned -
16 votes
Add LU and QR decompositions for complex matrices
Currently the LU and QR linear algebra matrix decompositions are only supported on real matrices.
Status: started -
12 votes
Release a Silverlight version of Iridium
I just did this. Haven't run the tests yet. Here are my notes:
- Commented all [Serializable] attributes and changed [NonSerialized()] to [IgnoreDataMember]. The default DataContractSerializer will now work correctly.
-Changed Histogram ArrayList buckets to type List<IComparable> and rela... more
Status: planned -
12 votes
VSLab
I think this is a great project. I am suggesting your library for VSLab (http://www.codeplex.com/vslab). I think that an F# wrapper would be great. Are you interested in contribute with your math library in creating a Matlab like environment? Have a look to the project!
Status: under review -
7 votes
Add single-precision matrices
Memory-bound algorithms could handle larger problems if matrices were stored in single precision (both real and complex). This probably means that single-precision variants of everything else must be supplied too. Lapack, for instance, does this.
Status: planned -
3 votes