Trait opencv::core::MinProblemSolver[−][src]

pub trait MinProblemSolver: AlgorithmTrait + MinProblemSolverConst {
    fn as_raw_mut_MinProblemSolver(&mut self) -> *mut c_void;

    fn set_function(
        &mut self, 
        f: &Ptr<dyn MinProblemSolver_Function>
    ) -> Result<()> { ... }

    fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()> { ... }

    fn minimize(&mut self, x: &mut dyn ToInputOutputArray) -> Result<f64> { ... }
}

Required methods

Provided methods

Setter for the optimized function.

It should be called at least once before the call to minimize(), as default value is not usable.

Parameters
  • f: The new function to optimize.

Set terminal criteria for solver.

This method is not necessary to be called before the first call to minimize(), as the default value is sensible.

Algorithm stops when the number of function evaluations done exceeds termcrit.maxCount, when the function values at the vertices of simplex are within termcrit.epsilon range or simplex becomes so small that it can enclosed in a box with termcrit.epsilon sides, whatever comes first.

Parameters
  • termcrit: Terminal criteria to be used, represented as cv::TermCriteria structure.

actually runs the algorithm and performs the minimization.

The sole input parameter determines the centroid of the starting simplex (roughly, it tells where to start), all the others (terminal criteria, initial step, function to be minimized) are supposed to be set via the setters before the call to this method or the default values (not always sensible) will be used.

Parameters
  • x: The initial point, that will become a centroid of an initial simplex. After the algorithm will terminate, it will be set to the point where the algorithm stops, the point of possible minimum.
Returns

The value of a function at the point found.

Implementors