NonLinearLeastSquare Class Reference

### A free/open-source library for quantitative finance

Public Member Functions
NonLinearLeastSquare Class Reference

Non-linear least-square method. More...

`#include <ql/math/optimization/leastsquare.hpp>`

List of all members.

## Public Member Functions
| NonLinearLeastSquare (Constraint &c, Real accuracy=1e-4, Size maxiter=100)
| Default constructor.
| NonLinearLeastSquare (Constraint &c, Real accuracy, Size maxiter, boost::shared_ptr< OptimizationMethod > om)
| Default constructor.
| ~NonLinearLeastSquare ()
| Destructor.
Array & | perform (LeastSquareProblem &lsProblem)
| Solve least square problem using numerix solver.
void | setInitialValue (const Array &initialValue)
Array & | results ()
| return the results
Real | residualNorm ()
| return the least square residual norm
Real | lastValue ()
| return last function value
Integer | exitFlag ()
| return exit flag
Integer | iterationsNumber ()
| return the performed number of iterations

## Detailed Description

Non-linear least-square method.

Using a given optimization algorithm (default is conjugate gradient),

where is the Euclidean norm of for some vector-valued function from to ,

with where is the vector of target data and is a scalar function.

Assuming the differentiability of , the gradient of is defined by