Package | Description |
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fitters | |
optimizers |
Modifier and Type | Method and Description |
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double[][] |
MCMC_Fitter.fit(double[] data) |
double[][] |
Fitter.fit(double[] data)
Fits the model to one voxel's worth of data.
|
Modifier and Type | Class and Description |
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class |
MarkovChainMonteCarloException
Purpose:
Exception class used in MCMC Minimiser.
|
class |
MarquardtMinimiserException
Purpose:
Exception class used in Marquardt Minimiser.
|
class |
MarquardtMinimiserNonConvergenceException
Purpose:
Exception class used in Marquardt Minimiser.
|
Modifier and Type | Method and Description |
---|---|
void |
MultiRunMinimizer.minimise()
Run the minimizer repeatedly from perturbed starting points and
concatenate the result.
|
void |
Minimizer.minimise()
Runs the minimization.
|
void |
MultiRunMinimizer.setInitParams(double[] aInit) |
void |
Minimizer.setInitParams(double[] aInit)
Sets the initial values of the optimized parameters.
|
void |
MultiRunMinimizer.setMeasurements(double[] newMeas) |
void |
Minimizer.setMeasurements(double[] newMeas)
Initializes the fitting procedure with a new set of
measurements (dependent variables).
|
Constructor and Description |
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MultiRunLM_GaussianMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Perturbation p,
int repeats,
int seed) |
MultiRunLM_Minimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Perturbation p,
int repeats,
int seed) |
MultiRunLM_OffGaussMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Perturbation p,
int repeats,
int seed,
double sigma) |
MultiRunLM_RicianMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Perturbation p,
int repeats,
int seed,
double sigma) |
MultiRunMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Perturbation p,
int repeats,
int seed)
Constructor needs all the following:
|