transform_vars_affine.c File Reference
Implementation of performing an affine transformation on decision values. More...
Data Structures | |
| struct | transform_vars_affine_data_t |
| Data type for transform_vars_affine. More... | |
Functions | |
| static void | transform_vars_affine_evaluate_function (coco_problem_t *problem, const double *x, double *y) |
| Evaluates the transformed objective function. More... | |
| static void | transform_vars_affine_evaluate_constraint (coco_problem_t *problem, const double *x, double *y) |
| Evaluates the transformed constraint. More... | |
| static void | transform_vars_affine_evaluate_gradient (coco_problem_t *problem, const double *x, double *y) |
| Evaluates the gradient of the transformed function. More... | |
| static void | transform_vars_affine_free (void *thing) |
| Frees the data object. More... | |
| static coco_problem_t * | transform_vars_affine (coco_problem_t *inner_problem, const double *M, const double *b, const size_t number_of_variables) |
| Creates the transformation. More... | |
Detailed Description
Implementation of performing an affine transformation on decision values.
x |-> Mx + b
The matrix M is stored in row-major format.
Currently, the best parameter is transformed correctly only in the simple cases where M is orthogonal which is always the case for the bbob functions. How to code this for general transformations of the above form, see https://github.com/numbbo/coco/issues/814#issuecomment-303724400
Function Documentation
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Creates the transformation.
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Evaluates the transformed constraint.
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Evaluates the transformed objective function.
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Evaluates the gradient of the transformed function.
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Frees the data object.
