FittedBondDiscountCurve::FittingMethod Class Reference

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

Public Member Functions | Protected Member Functions | Protected Attributes | Friends
FittedBondDiscountCurve::FittingMethod Class Reference

Base fitting method used to construct a fitted bond discount curve. More...

`#include <ql/termstructures/yield/fittedbonddiscountcurve.hpp>`

Inheritance diagram for FittedBondDiscountCurve::FittingMethod:
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List of all members.

## Public Member Functions
virtual Size | size () const =0
| total number of coefficients to fit/solve for
Array | solution () const
| output array of results of optimization problem
Integer | numberOfIterations () const
| final number of iterations used in the optimization problem
Real | minimumCostValue () const
| final value of cost function after optimization
virtual std::auto_ptr < FittingMethod > | clone () const =0
| clone of the current object
## Protected Member Functions
| FittingMethod (bool constrainAtZero=true)
| constructor
void | init ()
| rerun every time instruments/referenceDate changes
virtual DiscountFactor | discountFunction (const Array &x, Time t) const =0
| derived classes must set this
## Protected Attributes
bool | constrainAtZero_
| constrains discount function to unity at , if true
FittedBondDiscountCurve * | curve_
| internal reference to the FittedBondDiscountCurve instance
Array | solution_
| solution array found from optimization, set in calculate()
Array | guessSolution_
| optional guess solution to be passed into constructor.
boost::shared_ptr< FittingCost > | costFunction_
| base class sets this cost function used in the optimization routine
## Friends
class | FittedBondDiscountCurve

## Detailed Description

Base fitting method used to construct a fitted bond discount curve.

This base class provides the specific methodology/strategy used to construct a FittedBondDiscountCurve. Derived classes need only define the virtual function discountFunction() based on the particular fitting method to be implemented, as well as size(), the number of variables to be solved for/optimized. The generic fitting methodology implemented here can be termed nonlinear, in contrast to (typically faster, computationally) linear fitting method.

Possible enhancements:
  derive the special-case class LinearFittingMethods from FittingMethod. A linear fitting to a set of basis functions is any fitting of the form

  i.e., linear in the unknown coefficients . Such a fitting can be reduced to a linear algebra problem , and for large numbers of bonds, would typically be much faster computationally than the generic non-linear fitting method.

Warning:
  some parameters to the Simplex optimization method may need to be tweaked internally to the class, depending on the fitting method used, in order to get proper/reasonable/faster convergence.

## Member Function Documentation

virtual DiscountFactor discountFunction | ( | const Array & | x,
|  | Time | t
| ) |  | const`[protected, pure virtual]`

derived classes must set this

user-defined discount curve, as a function of time and an array of unknown fitting coefficients .

## Member Data Documentation

Array guessSolution_`[protected]`

optional guess solution to be passed into constructor.

The idea is to use a previous solution as a guess solution to the discount curve, in an attempt to speed up calculations.