Comments (3)
To solve this, maybe MatrixFeatures.isPositiveDefinite() should work with a
copy of the original matrix when trying to do the Cholesky Decomposition. As a
workaround, that's what I do atm.
Original comment by [email protected]
on 17 Jan 2013 at 8:59
from efficient-java-matrix-library.
That is a bug. It was missing a check to lu.inputModified(). Fixed and
committed to SVN. Also found a few other cases where that flag was not being
checked. Let me know if you have any additional problems.
Original comment by [email protected]
on 17 Jan 2013 at 11:43
- Changed state: Fixed
from efficient-java-matrix-library.
That was quick, thanks!
Original comment by [email protected]
on 18 Jan 2013 at 11:50
from efficient-java-matrix-library.
Related Issues (20)
- Request for additional element-wise matrix operators HOT 1
- MatrixFeatures.isPositiveDefinite modifies the matrix if sandwiched with invert() HOT 1
- Add support for matrices with zero dimensions HOT 1
- Request for adding a multiplication method for more than two matrices HOT 2
- There's problem at Big matrix HOT 1
- Add flag to automatically order singular values in SVD HOT 1
- Erroneous calculation of the determinant of a matrix HOT 6
- Matrix inversion should fail if matrix contains NaN HOT 1
- Matrix reshape question HOT 1
- CovarianceRandomDraw documentation incorrectly states that argument cov is no modified HOT 1
- Add complex eigenvectors
- LinearSolver (symmPosDef) doesn't appear to work at all. HOT 1
- LinearSolverChol::solve(B,X) - obvious BUG in dimensions check HOT 1
- SimpleMatrix invert: no exception for singular matrix HOT 6
- Searching for org.ejml.simple HOT 1
- make 32bit float (float) versions of all matrices HOT 1
- possible problem with solve with larger dimensions HOT 1
- Add RandomMatrix.setGaussian() HOT 2
- Matrix rank seems incorrect for large matrices HOT 3
- SimpleBase.loadCSV is not extensible HOT 2
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