Package target_functions :: Module relax_fit
[hide private]
[frames] | no frames]

Module relax_fit

Functions [hide private]
 
back_calc_I(...)
Return the back calculated peak intensities as a Python list.
 
d2func_exp(...)
Target function for the two parameter exponential for calculating and returning the chi-squared Hessian.
 
d2func_inv(...)
Target function for the inversion recovery experiment for calculating and returning the chi-squared Hessian.
 
d2func_sat(...)
Target function for the saturation recovery experiment for calculating and returning the chi-squared Hessian.
 
dfunc_exp(...)
Target function for the two parameter exponential for calculating and returning the chi-squared gradient.
 
dfunc_inv(...)
Target function for the inversion recovery experiment for calculating and returning the chi-squared gradient.
 
dfunc_sat(...)
Target function for the saturation recovery experiment for calculating and returning the chi-squared gradient.
 
func_exp(...)
Target function for the two parameter exponential for calculating and returning the chi-squared value.
 
func_inv(...)
Target function for the inversion recovery experiment for calculating and returning the chi-squared value.
 
func_sat(...)
Target function for the saturation recovery experiment for calculating and returning the chi-squared value.
 
jacobian_chi2_exp(...)
Return the Jacobian matrix of the chi-squared function for the two parameter exponential as a Python list.
 
jacobian_chi2_inv(...)
Return the Jacobian matrix of the chi-squared function for the inversion recovery experiment as a Python list.
 
jacobian_chi2_sat(...)
Return the Jacobian matrix of the chi-squared function for the saturation recovery experiment as a Python list.
 
jacobian_exp(...)
Return the Jacobian matrix for the two parameter exponential as a Python list.
 
jacobian_inv(...)
Return the Jacobian matrix for the inversion recovery experiment as a Python list.
 
jacobian_sat(...)
Return the Jacobian matrix for the saturation recovery experiment as a Python list.
 
setup(...)
Set up the module in preparation for calls to the target function.
Variables [hide private]
  __package__ = None
hash(x)
Function Details [hide private]

func_exp(...)

 

Target function for the two parameter exponential for calculating and returning the chi-squared value.

Firstly the back calculated intensities are generated, then the chi-squared statistic is calculated.

func_inv(...)

 

Target function for the inversion recovery experiment for calculating and returning the chi-squared value.

Firstly the back calculated intensities are generated, then the chi-squared statistic is calculated.

func_sat(...)

 

Target function for the saturation recovery experiment for calculating and returning the chi-squared value.

Firstly the back calculated intensities are generated, then the chi-squared statistic is calculated.