Package | Description |
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fitters | |
optimizers |
Modifier and Type | Class and Description |
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class |
FixedSTD_GaussianPerturbation
* Class for starting point perturbations using a gaussian standard distribution
Description:
Perturbs the parameters using a gaussian standard distribution which is controlled by a single parameter: the standard
deviation (0.1 by default).
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Modifier and Type | Method and Description |
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void |
MultiRunMinimizer.setPerturbation(Perturbation p)
Sets the perturbation object for getting starting points.
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Constructor and Description |
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MCMC_GaussianMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Prior p,
Perturbation pb,
double sigma)
Constructor needs all the following:
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MCMC_OffGaussMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Prior p,
Perturbation pb,
double sigma)
Constructor needs all the following:
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MCMC_RicianMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Prior p,
Perturbation pb,
double sigma)
Constructor needs all the following:
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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:
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