Comments (4)
An easy way (but perhaps naive, performance wise) is:
public static SimpleMatrix rowTotals(SimpleMatrix A) {
SimpleMatrix l = new SimpleMatrix(1, A.numCols());
l.set(1.0);
return l.mult(A.transpose()).transpose();
}
public static SimpleMatrix columnTotals(SimpleMatrix A) {
SimpleMatrix l = new SimpleMatrix(1, A.numRows());
l.set(1.0);
return l.mult(A).transpose();
}
Which is a simple trick to get the totals. The final transpose is
there just to get vertical vectors in stead of horizontal ones. I'm
not sure if this is the most efficient way in ejml or if iteration is
faster. Feel free to reuse.
Original comment by [email protected]
on 30 May 2011 at 12:15
from efficient-java-matrix-library.
I remember you mentioned this before. I'll add something similar to CommonOps.
Original comment by [email protected]
on 1 Jun 2011 at 11:23
- Changed state: Accepted
- Added labels: Type-Enhancement
- Removed labels: Type-Defect
from efficient-java-matrix-library.
Similar functions have been added to CommonOps. Take a look at sumRows() and
sumCols() in common ops. A more direct method was used to compute the output
which should be faster.
Original comment by [email protected]
on 11 Jun 2011 at 5:52
from efficient-java-matrix-library.
Assuming that the functions added are sufficient. Will reopen if this is not
the case.
Original comment by [email protected]
on 22 Jun 2011 at 6:50
- Changed state: Fixed
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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