StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
1827108
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
1
CommunityOwnedDate
CreationDate
2009-12-01T15:56:36.593
FavoriteCount
0
LastActivityDate
2009-12-01T15:56:36.593
LastEditDate
LastEditorUserId
0
OwnerUserId
185908
ParentId
1812249
PostTypeId
2
Score
0
ViewCount
0
LastEditorDisplayName
text
Body
If you are looking for high performance sparse matrix implementation check out <a href="http://www.centerspace.net" rel="nofollow noreferrer">NMath</a> from CenterSpace software. Here's a partial list of functionality cut from <a href="http://www.centerspace.net/products/nmath/" rel="nofollow noreferrer">here</a> on CenterSpace's website. <ul> <li>Full-featured structured sparse matrix classes, including triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded. </li> <li>Functions for converting between general matrices and structured sparse matrix types.</li> <li>Functions for transposing structured sparse matrices, computing inner products, and calculating matrix norms. </li> <li>Classes for factoring structured sparse matrices, including LU factorization for banded and tridiagonal matrices, Bunch-Kaufman factorization for symmetric and Hermitian matrices, and Cholesky decomposition for symmetric and Hermitian positive definite matrices. Once constructed, matrix factorizations can be used to solve linear systems and compute determinants, inverses, and condition numbers. </li> <li>General sparse vector and matrix classes, and matrix factorizations. </li> <li>Orthogonal decomposition classes for general matrices, including QR decomposition and singular value decomposition (SVD). </li> <li>Advanced least squares factorization classes for general matrices, including Cholesky, QR, and SVD. </li> <li>LU factorization for general matrices, as well as functions for solving linear systems, computing determinants, inverses, and condition numbers.</li> </ul> Paul
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. POAre there any storage optimized Sparse Matrix implementations in C#?
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. This table or related slice is empty.
UserOwnerUserId
1. USPaul
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. This table or related slice is empty.
PostsParentIdCreationDate
1. This table or related slice is empty.
VotesPostIdCreationDate
1. This table or related slice is empty.
CommentsPostId
1. COPaul, based on your profile it appears you work for CenterSpace. It's fine to post about your own product, but your connection to CenterSpace should be disclosed.
 singulars
 PostPostId
 PO
 UserUserId
 USGreg

Querying!

Guidance

A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.