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Mir 1.0
Mir application programming interface
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Mir 1.0
Mir application programming interface
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Context for least squares procedures. More...
#include <mirml_lsq.h>
Data Fields | |
| int | dataMode |
| Type of mode for collecting data. | |
| int | weightMode |
| Type of weighting of residuals. | |
| int | minMethod |
| Method for minimizing LS functional. | |
| int | linMethod |
| Method for solving sets of linear equations. | |
| unsigned int | nParams |
| Number of parameters to be refined. | |
| unsigned int | nData |
| Number of terms in LS functional (number of experimental points) | |
| unsigned int | status |
| Current status of LS problem. | |
| double | atol |
| Tolerance for additions. | |
| double | gtol |
| Tolerance for gradient. | |
| mirml_nr_svd_t * | svd |
| Structure for SVD. | |
| int | maxTrsIter |
| Maximal number of iterations in TRS procedure. | |
| double | lambdaLM |
| Current value of the stabilizing parameter Lambda in LM-method. | |
| double | lmFactorUp |
| Factor for increasing Lambda. | |
| double | lmFactorDown |
| Factor for decreasing Lambda. | |
| mirml_matrix_t * | J |
| Jacobian matrix [nData-by-nParams]. | |
| mirml_matrix_t * | alpha |
| Design matrix [nParams-by-nParams] or covariance matrix afrer mirml_lsq_covar. | |
| mirml_vector_t * | beta |
| Beta vector [nParams]. | |
| mirml_vector_t * | a |
| Current parameter values [nParams]. | |
| mirml_vector_t * | da |
| Last parameter increments [nParams]. | |
| mirml_vector_t * | f |
| Residuals [nData]. | |
| mirml_vector_t * | wV |
| Vector of weights [nData]. | |
| mirml_matrix_t * | wM |
| Matrix of weights [nData-by-nData]. | |
| mirml_vector_t * | creL |
| Ellipsoid of confidence region: lengths of axes. | |
| mirml_matrix_t * | creV |
| Ellipsoid of confidence region: directions of axes. | |
| double | chisq0 |
| Initial value of LS functional. | |
| double | chisq |
| Current minimal value of LS functional. | |
| double | chisqTrs |
| Current LS functional value in TRS procedure. | |
| double | daMax |
| Scaled maximal absolute addition. | |
| double | daRms |
| RMS of scaled additions. | |
| double | grMax |
| Scaled maximal absolute gradient component. | |
| double | grRms |
| RMS of scaled gradient. | |
| double | rho |
| Relative change in functional. | |
| int | alpha_nullity |
| Number of linear dependencies in the problem. | |
| double | condition_inv |
| Inverted condition of the problem. | |
| int | curTrsIter |
| Number of iterations done in TRS procedure. | |
| void * | usrd |
| Pointer to user-defined data. | |
| mirkl_error_t *(* | fdf_complete )(const mirml_vector_t *a, mirml_vector_t *f, mirml_matrix_t *J, void *usrd) |
| Callback function for evaluation of LS residuals and Jacobian in COMPLETE mode. | |
| mirkl_error_t *(* | update_func )(const mirml_vector_t *a, const mirml_vector_t *da, void *usrd) |
| Callback function for updating parameters. | |
| mirkl_error_t *(* | infctl_func )(int tag, int curIter, void *usrd, struct mirml_lsq_t_ *lsq) |
| Callback function for getting information and interaction with LSQ procedures. | |
Context for least squares procedures.
| mirkl_error_t *(* mirml_lsq_t_::fdf_complete) (const mirml_vector_t *a, mirml_vector_t *f, mirml_matrix_t *J, void *usrd) |
Callback function for evaluation of LS residuals and Jacobian in COMPLETE mode.
a - input vector with current set of values for refined parameters. f - if not NULL values for residuals (y_exp - y_model) for the complete range of data [nData] must be calculated. J - if not NULL full Jacobian [nData-by-nParams] dy_i/dp_j must be calculated. usrd - pointer to data possibly defined by user.
| mirkl_error_t *(* mirml_lsq_t_::infctl_func) (int tag, int curIter, void *usrd, struct mirml_lsq_t_ *lsq) |
Callback function for getting information and interaction with LSQ procedures.
tag - Special tag from LSQ_TAG_... indication the place where the callback is called from. curIter - current iteration number, if applicable. usrd - pointer to data possibly defined by user. lsq - LSQ context.
| mirkl_error_t *(* mirml_lsq_t_::update_func) (const mirml_vector_t *a, const mirml_vector_t *da, void *usrd) |
Callback function for updating parameters.
a - input vector [nParams] with current set of values for refined parameters. da - input vector [nParams] with additions for refined parameters. usrd - pointer to data possibly defined by user.
1.9.8