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numeric_prototypes.h File Reference

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Functions

public void initialize_amoeba (amoeba_struct *amoeba, int n_parameters, Real initial_parameters[], Real parameter_deltas[], amoeba_function function, void *function_data, Real tolerance)
public Real get_amoeba_parameters (amoeba_struct *amoeba, Real parameters[])
public void terminate_amoeba (amoeba_struct *amoeba)
public BOOLEAN perform_amoeba (amoeba_struct *amoeba)
public BOOLEAN solve_linear_system_float (int n, float **coefs, float values[], float solution[])
public BOOLEAN invert_square_matrix_float (int n, float **matrix, float **inverse)
public Real gradient_steps_minimize_function (int n_dims, Real initial_parameters[], Real initial_step_sizes[], Real(*func)(Real[], void *), void *func_data, int n_search_dims, int max_iterations, Real tolerance, Real solution[])
public void initialize_histogram (histogram_struct *histogram, Real delta, Real offset)
public void delete_histogram (histogram_struct *histogram)
public void add_to_histogram (histogram_struct *histogram, Real value)
public int get_histogram_counts (histogram_struct *histogram, Real *counts[], Real filter_width, Real *scale_factor, Real *trans_factor)
public void display_histogram (histogram_struct *histogram, int x_size, int y_size)
public void create_histogram_line (histogram_struct *histogram, int x_size, int y_size, Real filter_width, lines_struct *lines)
public BOOLEAN least_squares (int n_points, int n_dims, Real **points, Real values[], Real parameters[])
public void initialize_linear_least_squares (linear_least_squares *lsq, int n_parameters)
public void add_to_linear_least_squares (linear_least_squares *lsq, Real parameter_coefs[], Real constant)
public BOOLEAN get_linear_least_squares_solution (linear_least_squares *lsq, Real solution[])
public void delete_linear_least_squares (linear_least_squares *lsq)
public BOOLEAN singular_value_decomposition (int m, int n, Real **a, Real w[], Real **v)
public Real minimize_lsq (int n_parameters, Real constant_term, Real linear_terms[], Real square_terms[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[], Real max_step_size, int n_iters, Real node_values[])
public void initialize_lsq_terms (int n_parameters, Real *constant_term, Real *linear_terms[], Real *square_terms[], int *n_cross_terms[], int **cross_parms[], Real **cross_terms[])
public void reset_lsq_terms (int n_parameters, Real *constant_term, Real linear_terms[], Real square_terms[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[])
public void add_to_lsq_terms (int n_parameters, Real *constant_term, Real linear_terms[], Real square_terms[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[], int n_in_list, int list[], Real weights[], Real constant, int alloc_increment)
public void realloc_lsq_terms (int n_parameters, int n_cross_terms[], int *cross_parms[], Real *cross_terms[])
public void delete_lsq_terms (int n_parameters, Real linear_terms[], Real square_terms[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[])
public Real minimize_lsq_float (int n_parameters, Real constant_term, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[], Real max_step_size, int n_iters, Real node_values[])
public void initialize_lsq_terms_float (int n_parameters, Real *constant_term, float *linear_terms[], float *square_terms[], int *n_cross_terms[], int **cross_parms[], float **cross_terms[])
public void reset_lsq_terms_float (int n_parameters, Real *constant_term, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[])
public void add_to_lsq_terms_float (int n_parameters, Real *constant_term, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[], int n_in_list, int list[], Real weights[], Real constant, int alloc_increment)
public void realloc_lsq_terms_float (int n_parameters, int n_cross_terms[], int *cross_parms[], float *cross_terms[])
public void delete_lsq_terms_float (int n_parameters, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[])
public void create_lsq_hypersurface_float (STRING filename, int parm1, int parm2, int x_size, int y_size, Real x_min, Real x_max, Real y_min, Real y_max, Real scale, int n_parameters, Real constant, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[], Real parameters[])
public BOOLEAN numerically_close (Real n1, Real n2, Real threshold_ratio)
public Real get_good_round_value (Real value)
public Real round_to_nearest_multiple (Real value, Real multiple_value)
public int solve_quadratic (Real a, Real b, Real c, Real *solution1, Real *solution2)
public int solve_cubic (Real a, Real b, Real c, Real d, Real s[3])
public Real evaluate_polynomial (int n, Real poly[], Real u)
public int get_roots_of_polynomial (int n, Real poly[], Real u_min, Real u_max, Real accuracy, Real roots[])
public BOOLEAN get_range_of_polynomial (int n, Real poly[], Real u_min, Real u_max, Real min_val, Real max_val, Real accuracy, Real *u_min_range, Real *u_max_range)
public void initialize_quadratic (int n_parameters, Real *constant_term, float *linear_terms[], float *square_terms[], int *n_cross_terms[], int **cross_parms[], float **cross_terms[])
public void zero_quadratic (int n_parameters, Real *constant_term, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[])
public void add_to_quadratic_cross_term (int *n_cross_terms[], int **cross_parms[], float **cross_terms[], int parm1, int parm2, Real value, int alloc_increment)
public void realloc_quadratic_cross_terms (int n_parameters, int n_cross_terms[], int **cross_parms[], float **cross_terms[])
public void delete_quadratic (int n_parameters, float linear_terms[], float square_terms[], int n_cross_terms[], int *cross_parms[], float *cross_terms[])
public Real evaluate_quadratic (int n_parameters, float parameters[], Real constant, float linear[], float square[], int n_cross_terms[], int *cross_parms[], float *cross_terms[])
public void evaluate_quadratic_deriv (int n_parameters, float parameters[], float linear[], float square[], int n_cross_terms[], int *cross_parms[], float *cross_terms[], float deriv[])
public void initialize_quadratic_real (int n_parameters, Real *constant_term, Real *linear_terms[], Real *square_terms[], int *n_cross_terms[], int **cross_parms[], Real **cross_terms[])
public void zero_quadratic_real (int n_parameters, Real *constant_term, Real linear_terms[], Real square_terms[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[])
public void add_to_quadratic_cross_term_real (int *n_cross_terms[], int **cross_parms[], Real **cross_terms[], int parm1, int parm2, Real value, int alloc_increment)
public void realloc_quadratic_cross_terms_real (int n_parameters, int n_cross_terms[], int **cross_parms[], Real **cross_terms[])
public void delete_quadratic_real (int n_parameters, Real linear_terms[], Real square_terms[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[])
public Real evaluate_quadratic_real (int n_parameters, Real parameters[], Real constant, Real linear[], Real square[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[])
public void evaluate_quadratic_deriv_real (int n_parameters, Real parameters[], Real linear[], Real square[], int n_cross_terms[], int *cross_parms[], Real *cross_terms[], Real deriv[])
public void compute_statistics (int n, Real samples[], Real *min_value, Real *max_value, Real *mean_value, Real *std_dev, Real *median)
public void initialize_statistics (statistics_struct *stats, Real median_lower_bound, Real median_upper_bound)
public void add_sample_to_statistics (statistics_struct *stats, Real sample)
public void restart_statistics_with_narrower_median_range (statistics_struct *stats)
public void get_statistics (statistics_struct *stats, int *n_samples, Real *mean, Real *median, Real *median_error, Real *min_value, Real *max_value, Real *std_deviation)
public void terminate_statistics (statistics_struct *stats)
public void compute_mean_and_variance (int n, Real samples[], Real *mean, Real *variance)
public Real compute_two_means_t_statistic (int n1, Real samples1[], int n2, Real samples2[])
public void initialize_cumulative_t_stat (t_stat_struct *stat, int degrees_freedom)
public void delete_cumulative_t_stat (t_stat_struct *stat)
public Real get_cumulative_t_stat (t_stat_struct *stat, Real t)

Function Documentation

public void add_sample_to_statistics (  statistics_struct *  stats,
Real  sample
) 
 

Definition at line 133 of file statistics.c.

References statistics_struct::max_median_range, MAX_SAMPLES_RECORDED, statistics_struct::max_value, statistics_struct::median_box_counts, statistics_struct::median_box_values, statistics_struct::min_median_range, statistics_struct::min_value, statistics_struct::n_above_median_range, statistics_struct::n_below_median_range, statistics_struct::n_median_boxes, statistics_struct::n_samples, statistics_struct::samples, statistics_struct::sum_x, and statistics_struct::sum_xx.

Referenced by compute_statistics().

public void add_to_histogram (  histogram_struct *  histogram,
Real  value
) 
 

Definition at line 156 of file histogram.c.

References histogram_struct::counts, get_histogram_index(), histogram_struct::max_index, and histogram_struct::min_index.

public void add_to_linear_least_squares (  linear_least_squares *  lsq,
Real  parameter_coefs[],
Real  constant
) 
 

Definition at line 140 of file least_squares.c.

References linear_least_squares::constants, linear_least_squares::n_parameters, and linear_least_squares::second_derivs.

Referenced by get_prediction_weights_3d(), and least_squares().

public void add_to_lsq_terms (  int  n_parameters,
Real *  constant_term,
Real  linear_terms[],
Real  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[],
int  n_in_list,
int  list[],
Real  weights[],
Real  constant,
int  alloc_increment
) 
 

Definition at line 77 of file minimize_lsq.c.

public void add_to_lsq_terms_float (  int  n_parameters,
Real *  constant_term,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[],
int  n_in_list,
int  list[],
Real  weights[],
Real  constant,
int  alloc_increment
) 
 

Definition at line 77 of file minimize_lsq_float.c.

public void add_to_quadratic_cross_term (  int *  n_cross_terms[],
int **  cross_parms[],
float **  cross_terms[],
int  parm1,
int  parm2,
Real  value,
int  alloc_increment
) 
 

Definition at line 53 of file quadratic.c.

public void add_to_quadratic_cross_term_real (  int *  n_cross_terms[],
int **  cross_parms[],
Real **  cross_terms[],
int  parm1,
int  parm2,
Real  value,
int  alloc_increment
) 
 

Definition at line 53 of file real_quadratic.c.

public void compute_mean_and_variance (  int  n,
Real  samples[],
Real *  mean,
Real *  variance
) 
 

Definition at line 364 of file statistics.c.

Referenced by compute_two_means_t_statistic().

public void compute_statistics (  int  n,
Real  samples[],
Real *  min_value,
Real *  max_value,
Real *  mean_value,
Real *  std_dev,
Real *  median
) 
 

Definition at line 45 of file statistics.c.

References add_sample_to_statistics(), FALSE, get_statistics(), initialize_statistics(), restart_statistics_with_narrower_median_range(), terminate_statistics(), and TRUE.

public Real compute_two_means_t_statistic (  int  n1,
Real  samples1[],
int  n2,
Real  samples2[]
) 
 

Definition at line 390 of file statistics.c.

References compute_mean_and_variance().

public void create_histogram_line (  histogram_struct *  histogram,
int  x_size,
int  y_size,
Real  filter_width,
lines_struct *  lines
) 
 

Definition at line 492 of file histogram.c.

References add_point_to_line(), box_filter_histogram(), initialize_lines(), resample_histogram(), and WHITE.

public void create_lsq_hypersurface_float (  STRING  filename,
int  parm1,
int  parm2,
int  x_size,
int  y_size,
Real  x_min,
Real  x_max,
Real  y_min,
Real  y_max,
Real  scale,
int  n_parameters,
Real  constant,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[],
Real  parameters[]
) 
 

Definition at line 168 of file minimize_lsq_float.c.

References compute_quadmesh_normals(), create_object(), delete_object(), evaluate_fit(), get_quadmesh_ptr(), initialize_quadmesh(), output_graphics_file(), QUADMESH, set_quadmesh_point(), WHITE, and y.

public void delete_cumulative_t_stat (  t_stat_struct *  stat  ) 
 

Definition at line 113 of file t_stat.c.

References t_stat_struct::cumulative_probs.

public void delete_histogram (  histogram_struct *  histogram  ) 
 

Definition at line 62 of file histogram.c.

References histogram_struct::counts, histogram_struct::max_index, and histogram_struct::min_index.

public void delete_linear_least_squares (  linear_least_squares *  lsq  ) 
 

Definition at line 210 of file least_squares.c.

References linear_least_squares::constants, and linear_least_squares::second_derivs.

Referenced by get_prediction_weights_3d(), and least_squares().

public void delete_lsq_terms (  int  n_parameters,
Real  linear_terms[],
Real  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[]
) 
 

Definition at line 142 of file minimize_lsq.c.

public void delete_lsq_terms_float (  int  n_parameters,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[]
) 
 

Definition at line 142 of file minimize_lsq_float.c.

public void delete_quadratic (  int  n_parameters,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[]
) 
 

Definition at line 104 of file quadratic.c.

public void delete_quadratic_real (  int  n_parameters,
Real  linear_terms[],
Real  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[]
) 
 

Definition at line 104 of file real_quadratic.c.

public void display_histogram (  histogram_struct *  histogram,
int  x_size,
int  y_size
) 
 

Definition at line 442 of file histogram.c.

References get_histogram_max_count(), get_histogram_range(), resample_histogram(), and y.

public Real evaluate_polynomial (  int  n,
Real  poly[],
Real  u
) 
 

Definition at line 411 of file numerical.c.

Referenced by check_voxel_for_boundary(), and get_cubic_root().

public Real evaluate_quadratic (  int  n_parameters,
float  parameters[],
Real  constant,
float  linear[],
float  square[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[]
) 
 

Definition at line 130 of file quadratic.c.

public void evaluate_quadratic_deriv (  int  n_parameters,
float  parameters[],
float  linear[],
float  square[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[],
float  deriv[]
) 
 

Definition at line 161 of file quadratic.c.

public void evaluate_quadratic_deriv_real (  int  n_parameters,
Real  parameters[],
Real  linear[],
Real  square[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[],
Real  deriv[]
) 
 

Definition at line 160 of file real_quadratic.c.

public Real evaluate_quadratic_real (  int  n_parameters,
Real  parameters[],
Real  constant,
Real  linear[],
Real  square[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[]
) 
 

Definition at line 130 of file real_quadratic.c.

public Real get_amoeba_parameters (  amoeba_struct *  amoeba,
Real  parameters[]
) 
 

Definition at line 118 of file amoeba.c.

References amoeba_struct::n_parameters, amoeba_struct::parameters, and amoeba_struct::values.

Referenced by optimize_simplex().

public Real get_cumulative_t_stat (  t_stat_struct *  stat,
Real  t
) 
 

Definition at line 119 of file t_stat.c.

References convert_t_stat_to_probability(), t_stat_struct::cumulative_probs, t_stat_struct::max_dist, and t_stat_struct::n_points.

public Real get_good_round_value (  Real  value  ) 
 

Definition at line 80 of file numerical.c.

public int get_histogram_counts (  histogram_struct *  histogram,
Real *  counts[],
Real  filter_width,
Real *  scale_factor,
Real *  trans_factor
) 
 

Definition at line 320 of file histogram.c.

References box_filter_histogram(), convert_real_index_to_value(), histogram_struct::counts, histogram_struct::delta, histogram_struct::max_index, and histogram_struct::min_index.

public BOOLEAN get_linear_least_squares_solution (  linear_least_squares *  lsq,
Real  solution[]
) 
 

Definition at line 169 of file least_squares.c.

References linear_least_squares::constants, linear_least_squares::n_parameters, and linear_least_squares::second_derivs.

Referenced by get_prediction_weights_3d(), and least_squares().

public BOOLEAN get_range_of_polynomial (  int  n,
Real  poly[],
Real  u_min,
Real  u_max,
Real  min_val,
Real  max_val,
Real  accuracy,
Real *  u_min_range,
Real *  u_max_range
) 
 

Definition at line 737 of file numerical.c.

References check_range(), FALSE, and polynomial_may_include_range().

Referenced by check_voxel_for_boundary().

public int get_roots_of_polynomial (  int  n,
Real  poly[],
Real  u_min,
Real  u_max,
Real  accuracy,
Real  roots[]
) 
 

Definition at line 635 of file numerical.c.

References check_interval(), and get_roots_of_cubic().

Referenced by find_voxel_line_value_intersection(), and get_cubic_root().

public void get_statistics (  statistics_struct *  stats,
int *  n_samples,
Real *  mean,
Real *  median,
Real *  median_error,
Real *  min_value,
Real *  max_value,
Real *  std_deviation
) 
 

Definition at line 283 of file statistics.c.

References get_median(), statistics_struct::max_value, statistics_struct::min_value, statistics_struct::n_samples, statistics_struct::sum_x, and statistics_struct::sum_xx.

Referenced by compute_statistics().

public Real gradient_steps_minimize_function (  int  n_dims,
Real  initial_parameters[],
Real  initial_step_sizes[],
Real(*  func)(Real[], void *),
void *  func_data,
int  n_search_dims,
int  max_iterations,
Real  tolerance,
Real  solution[]
) 
 

Definition at line 40 of file gradient_minimize.c.

References FALSE, numerically_close(), SMALLEST_STEP_SIZE, STEP_RATIO, take_step(), and TRUE.

public void initialize_amoeba (  amoeba_struct *  amoeba,
int  n_parameters,
Real  initial_parameters[],
Real  parameter_deltas[],
amoeba_function  function,
void *  function_data,
Real  tolerance
) 
 

Definition at line 66 of file amoeba.c.

References amoeba_struct::function, amoeba_struct::function_data, get_function_value(), amoeba_struct::n_parameters, amoeba_struct::n_steps_no_improvement, amoeba_struct::parameters, amoeba_struct::sum, amoeba_struct::tolerance, and amoeba_struct::values.

Referenced by optimize_simplex().

public void initialize_cumulative_t_stat (  t_stat_struct *  stat,
int  degrees_freedom
) 
 

Definition at line 96 of file t_stat.c.

References t_stat_struct::cumulative_probs, t_stat_struct::degrees_freedom, initialize_t_integral(), t_stat_struct::max_dist, MAX_DIST, t_stat_struct::n_points, N_POINTS, and N_STEPS_BETWEEN.

public void initialize_histogram (  histogram_struct *  histogram,
Real  delta,
Real  offset
) 
 

Definition at line 37 of file histogram.c.

References histogram_struct::delta, histogram_struct::max_index, histogram_struct::min_index, and histogram_struct::offset.

public void initialize_linear_least_squares (  linear_least_squares *  lsq,
int  n_parameters
) 
 

Definition at line 94 of file least_squares.c.

References linear_least_squares::constants, linear_least_squares::n_parameters, and linear_least_squares::second_derivs.

Referenced by get_prediction_weights_3d(), and least_squares().

public void initialize_lsq_terms (  int  n_parameters,
Real *  constant_term,
Real *  linear_terms[],
Real *  square_terms[],
int *  n_cross_terms[],
int **  cross_parms[],
Real **  cross_terms[]
) 
 

Definition at line 28 of file minimize_lsq.c.

public void initialize_lsq_terms_float (  int  n_parameters,
Real *  constant_term,
float *  linear_terms[],
float *  square_terms[],
int *  n_cross_terms[],
int **  cross_parms[],
float **  cross_terms[]
) 
 

Definition at line 28 of file minimize_lsq_float.c.

public void initialize_quadratic (  int  n_parameters,
Real *  constant_term,
float *  linear_terms[],
float *  square_terms[],
int *  n_cross_terms[],
int **  cross_parms[],
float **  cross_terms[]
) 
 

Definition at line 4 of file quadratic.c.

public void initialize_quadratic_real (  int  n_parameters,
Real *  constant_term,
Real *  linear_terms[],
Real *  square_terms[],
int *  n_cross_terms[],
int **  cross_parms[],
Real **  cross_terms[]
) 
 

Definition at line 4 of file real_quadratic.c.

public void initialize_statistics (  statistics_struct *  stats,
Real  median_lower_bound,
Real  median_upper_bound
) 
 

Definition at line 105 of file statistics.c.

References DEFAULT_N_MEDIAN_BOXES, statistics_struct::max_median_range, statistics_struct::median_box_counts, statistics_struct::median_box_values, statistics_struct::min_median_range, statistics_struct::n_above_median_range, statistics_struct::n_below_median_range, statistics_struct::n_median_boxes, statistics_struct::n_samples, statistics_struct::sum_x, and statistics_struct::sum_xx.

Referenced by compute_statistics(), and restart_statistics_with_narrower_median_range().

public BOOLEAN invert_square_matrix_float (  int  n,
float **  matrix,
float **  inverse
) 
 

Definition at line 127 of file gaussian.c.

References scaled_maximal_pivoting_gaussian_elimination_float().

public BOOLEAN least_squares (  int  n_points,
int  n_dims,
Real **  points,
Real  values[],
Real  parameters[]
) 
 

Definition at line 46 of file least_squares.c.

References add_to_linear_least_squares(), delete_linear_least_squares(), get_linear_least_squares_solution(), and initialize_linear_least_squares().

Referenced by compute_12param_transform(), and get_least_squares_transform_2d().

public Real minimize_lsq (  int  n_parameters,
Real  constant_term,
Real  linear_terms[],
Real  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[],
Real  max_step_size,
int  n_iters,
Real  node_values[]
) 
 

Definition at line 10 of file minimize_lsq.c.

References private_minimize_lsq().

public Real minimize_lsq_float (  int  n_parameters,
Real  constant_term,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[],
Real  max_step_size,
int  n_iters,
Real  node_values[]
) 
 

Definition at line 10 of file minimize_lsq_float.c.

References private_minimize_lsq().

public BOOLEAN numerically_close (  Real  n1,
Real  n2,
Real  threshold_ratio
) 
 

Definition at line 40 of file numerical.c.

References SMALLEST.

Referenced by create_box_filtered_volume(), gradient_steps_minimize_function(), and perform_amoeba().

public BOOLEAN perform_amoeba (  amoeba_struct *  amoeba  ) 
 

Definition at line 232 of file amoeba.c.

References CONTRACT_RATIO, FALSE, FLIP_RATIO, get_function_value(), amoeba_struct::n_parameters, amoeba_struct::n_steps_no_improvement, N_STEPS_NO_IMPROVEMENT, numerically_close(), amoeba_struct::parameters, STRETCH_RATIO, amoeba_struct::sum, amoeba_struct::tolerance, TRUE, try_amoeba(), and amoeba_struct::values.

Referenced by optimize_simplex().

public void realloc_lsq_terms (  int  n_parameters,
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[]
) 
 

Definition at line 124 of file minimize_lsq.c.

public void realloc_lsq_terms_float (  int  n_parameters,
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[]
) 
 

Definition at line 124 of file minimize_lsq_float.c.

public void realloc_quadratic_cross_terms (  int  n_parameters,
int  n_cross_terms[],
int **  cross_parms[],
float **  cross_terms[]
) 
 

Definition at line 86 of file quadratic.c.

public void realloc_quadratic_cross_terms_real (  int  n_parameters,
int  n_cross_terms[],
int **  cross_parms[],
Real **  cross_terms[]
) 
 

Definition at line 86 of file real_quadratic.c.

public void reset_lsq_terms (  int  n_parameters,
Real *  constant_term,
Real  linear_terms[],
Real  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[]
) 
 

Definition at line 55 of file minimize_lsq.c.

public void reset_lsq_terms_float (  int  n_parameters,
Real *  constant_term,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[]
) 
 

Definition at line 55 of file minimize_lsq_float.c.

public void restart_statistics_with_narrower_median_range (  statistics_struct *  stats  ) 
 

Definition at line 264 of file statistics.c.

References get_median(), initialize_statistics(), statistics_struct::max_median_range, statistics_struct::min_median_range, and terminate_statistics().

Referenced by compute_statistics().

public Real round_to_nearest_multiple (  Real  value,
Real  multiple_value
) 
 

Definition at line 122 of file numerical.c.

public BOOLEAN singular_value_decomposition (  int  m,
int  n,
Real **  a,
Real  w[],
Real **  v
) 
 

Definition at line 46 of file matrix_svd.c.

References FALSE, MAX_ITERATIONS, PYTHAG, TAKE_SIGN, TRUE, and y.

Referenced by procrustes().

public int solve_cubic (  Real  a,
Real  b,
Real  c,
Real  d,
Real  s[3]
) 
 

Definition at line 244 of file numerical.c.

References COS_60, IsZero, SIN_60, and solve_quadratic().

Referenced by get_roots_of_cubic().

public BOOLEAN solve_linear_system_float (  int  n,
float **  coefs,
float  values[],
float  solution[]
) 
 

Definition at line 98 of file gaussian.c.

References scaled_maximal_pivoting_gaussian_elimination_float().

public int solve_quadratic (  Real  a,
Real  b,
Real  c,
Real *  solution1,
Real *  solution2
) 
 

Definition at line 159 of file numerical.c.

Referenced by get_roots_of_cubic(), get_tessellation_with_n_points(), line_intersects_ellipsoid(), ray_intersects_tube(), and solve_cubic().

public void terminate_amoeba (  amoeba_struct *  amoeba  ) 
 

Definition at line 150 of file amoeba.c.

References amoeba_struct::parameters, amoeba_struct::sum, and amoeba_struct::values.

Referenced by optimize_simplex().

public void terminate_statistics (  statistics_struct *  stats  ) 
 

Definition at line 351 of file statistics.c.

References statistics_struct::max_median_range, MAX_SAMPLES_RECORDED, statistics_struct::median_box_counts, statistics_struct::median_box_values, statistics_struct::min_median_range, statistics_struct::n_samples, and statistics_struct::samples.

Referenced by compute_statistics(), and restart_statistics_with_narrower_median_range().

public void zero_quadratic (  int  n_parameters,
Real *  constant_term,
float  linear_terms[],
float  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
float *  cross_terms[]
) 
 

Definition at line 31 of file quadratic.c.

public void zero_quadratic_real (  int  n_parameters,
Real *  constant_term,
Real  linear_terms[],
Real  square_terms[],
int  n_cross_terms[],
int *  cross_parms[],
Real *  cross_terms[]
) 
 

Definition at line 31 of file real_quadratic.c.

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