Package | Description |
---|---|
optimizers |
Modifier and Type | Class and Description |
---|---|
class |
LM_GaussianMinimizer
Purpose:
Levenberg-Marquardt algorithm for minimizing chi-squared
objective function, ie Gaussian noise model, with equal variance on
each measurement.
|
class |
LM_OffGaussMinimizer
Purpose:
Levenberg-Marquardt algorithm for minimizing chi-squared
objective function with the offset Gaussian noise model, which adds
an expected offset to each measurement from Rician noise bias; see
Jones and Basser MRM 2004; Alexander "Modelling fitting and
sampling..." 2009.
|
class |
LM_RicianMinimizer
Purpose:
Levenberg-Marquardt algorithm for minimizing the log-likelihood
objective function using a Rician noise model assuming equal
underlying variances on the real and imaginary Gaussian models on
each measurement.
|