Research data
Matrix Market coordinate normalizer
Expand stored symmetry, sum repeated coordinates and export a general sparse matrix.
Your inputs
Start with an exampleYour result
Example resultAa — A small example of your colors.
How it works
Reflect lower-triangle entries according to symmetric, skew-symmetric or Hermitian rules. Sum duplicate coordinates, remove exact zeros and sort by row/column.
The symmetric sample stores four entries. Its two off-diagonal entries are reflected, producing six nonzero general entries.
Limits
At most 20000 stored entries. Coordinate matrices only; real/complex arithmetic uses JavaScript numbers and integer sums must remain safe. Tiny residuals are retained; no numerical conditioning or solver claim.