[−][src]Function opencv::core::solve

pub fn solve(
    src1: &dyn ToInputArray, 
    src2: &dyn ToInputArray, 
    dst: &mut dyn ToOutputArray, 
    flags: i32
) -> Result<bool>

Solves one or more linear systems or least-squares problems.

The function cv::solve solves a linear system or least-squares problem (the latter is possible with SVD or QR methods, or by specifying the flag #DECOMP_NORMAL ): block formula

If #DECOMP_LU or #DECOMP_CHOLESKY method is used, the function returns 1 if src1 (or inline formula ) is non-singular. Otherwise, it returns 0. In the latter case, dst is not valid. Other methods find a pseudo-solution in case of a singular left-hand side part.

Note: If you want to find a unity-norm solution of an under-defined singular system inline formula , the function solve will not do the work. Use SVD::solveZ instead.

Parameters

  • src1: input matrix on the left-hand side of the system.
  • src2: input matrix on the right-hand side of the system.
  • dst: output solution.
  • flags: solution (matrix inversion) method (#DecompTypes)

See also

invert, SVD, eigen

C++ default parameters

  • flags: DECOMP_LU