total_least_squares

scirs2_optimize::least_squares::total

Function total_least_squares 

Source 
pub fn total_least_squares<S1, S2, S3, S4>(
    x_measured: &ArrayBase<S1, Ix1>,
    y_measured: &ArrayBase<S2, Ix1>,
    x_variance: Option<&ArrayBase<S3, Ix1>>,
    y_variance: Option<&ArrayBase<S4, Ix1>>,
    options: Option<TotalLeastSquaresOptions>,
) -> OptimizeResult<TotalLeastSquaresResult>
where
    S1: Data<Elem = f64>,
    S2: Data<Elem = f64>,
    S3: Data<Elem = f64>,
    S4: Data<Elem = f64>,
Expand description

Solve a total least squares problem

This function fits a line to data with errors in both variables. It minimizes the sum of squared orthogonal distances to the line.

ยงArguments

  • x_measured - Measured x values
  • y_measured - Measured y values
  • x_variance - Optional variance estimates for x measurements
  • y_variance - Optional variance estimates for y measurements
  • options - Options for the optimization