The following pages link to ODRPACK (Q13404):
Displaying 21 items.
- On the solution of the errors in variables problem using the \(l_ 1\) norm (Q1182622) (← links)
- A trust region method for implicit orthogonal distance regression (Q1315240) (← links)
- Parametric approximation of data using ODR splines (Q1330466) (← links)
- Automatic construction of accurate models of physical systems (Q1380436) (← links)
- Efficient computation of the Gauss-Newton direction when fitting NURBS using ODR (Q1759585) (← links)
- Least squares orthogonal distance fitting of curves and surfaces in space. (Q1769765) (← links)
- A trust region algorithm for parametric curve and surface fitting (Q1815878) (← links)
- Superlinearly convergent trust-region method without the assumption of positive-definite Hessian (Q2370038) (← links)
- Form Assessment in Coordinate Metrology (Q2908398) (← links)
- Algorithm 869 (Q3549205) (← links)
- (Q3984244) (← links)
- (Q4215360) (← links)
- Fitting Data with Errors in All Variables Using the Huber M-estimator (Q4253062) (← links)
- Numerical Optimization (Q4255577) (← links)
- (Q4313656) (← links)
- (Q4353211) (← links)
- (Q4358708) (← links)
- Algorithm 676: ODRPACK: software for weighted orthogonal distance regression (Q4371632) (← links)
- (Q4530436) (← links)
- (Q4654008) (← links)
- Least-squares fitting of circles and ellipses (Q5906711) (← links)
