@Generated("org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM") public class LinearSolverLuKJI_FDRM extends LinearSolverLuBase_FDRM
LinearSolverLu_FDRMin this approach and b and x can't be the same instance, which means it has slightly less functionality.
LinearSolverLuKJI_FDRMpublic LinearSolverLuKJI_FDRM(LUDecompositionBase_FDRM decomp)
setApublic boolean setA(FMatrixRMaj A)Description copied from interface:
Specifies the A matrix in the linear equation. A reference might be saved and it might also be modified depending on the implementation. If it is modified then
LinearSolver.modifiesA()will return true.
If this value returns true that does not guarantee a valid solution was generated. This is because some decompositions don't detect singular matrices.
solveAn other implementation of solve() that processes the matrices in a different order. It seems to have the same runtime performance as
solve(org.ejml.data.FMatrixRMaj, org.ejml.data.FMatrixRMaj)and is more complicated. It is being kept around to avoid future replication of work.
B- A matrix that is n by m. Not modified.
X- An n by m matrix where the solution is writen to. Modified.