RNAlib-2.4.14
perturbation_fold.h
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1 #ifndef VIENNA_RNA_PACKAGE_PERTURBATION_FOLD_H
2 #define VIENNA_RNA_PACKAGE_PERTURBATION_FOLD_H
3 
5 
24 #define VRNA_OBJECTIVE_FUNCTION_QUADRATIC 0
25 
33 #define VRNA_OBJECTIVE_FUNCTION_ABSOLUTE 1
34 
40 #define VRNA_MINIMIZER_DEFAULT 0
41 
49 #define VRNA_MINIMIZER_CONJUGATE_FR 1
50 
58 #define VRNA_MINIMIZER_CONJUGATE_PR 2
59 
67 #define VRNA_MINIMIZER_VECTOR_BFGS 3
68 
76 #define VRNA_MINIMIZER_VECTOR_BFGS2 4
77 
85 #define VRNA_MINIMIZER_STEEPEST_DESCENT 5
86 
96 typedef void (*progress_callback)(int iteration,
97  double score,
98  double *epsilon);
99 
140  const double *q_prob_unpaired,
141  int objective_function,
142  double sigma_squared,
143  double tau_squared,
144  int algorithm,
145  int sample_size,
146  double *epsilon,
147  double initialStepSize,
148  double minStepSize,
149  double minImprovement,
150  double minimizerTolerance,
151  progress_callback callback);
152 
153 
154 #endif
The most basic data structure required by many functions throughout the RNAlib.
Definition: fold_compound.h:132
void vrna_sc_minimize_pertubation(vrna_fold_compound_t *vc, const double *q_prob_unpaired, int objective_function, double sigma_squared, double tau_squared, int algorithm, int sample_size, double *epsilon, double initialStepSize, double minStepSize, double minImprovement, double minimizerTolerance, progress_callback callback)
Find a vector of perturbation energies that minimizes the discripancies between predicted and observe...
void(* progress_callback)(int iteration, double score, double *epsilon)
Callback for following the progress of the minimization process.
Definition: perturbation_fold.h:96
The Basic Fold Compound API.