Efficiently processes elements of the distance matrix for calculating convergence error using pre-processed numeric representations of thresholds. This optimized version eliminates expensive string operations during optimization.
vectorized_process_distance_matrix(
distances_numeric,
threshold_mask,
p_dist_mat
)Numeric matrix with processed distance values. Elements where threshold conditions are satisfied will contain NA.
Numeric matrix. The numeric distance values (without threshold indicators)
Integer matrix. Codes representing threshold types: 1 for "greater than" (>), -1 for "less than" (<), or 0 for exact values
Numeric matrix. The calculated distance matrix to compare against
This function handles threshold logic for convergence error calculation by using pre-processed numeric matrices:
For "greater than" thresholds (threshold_mask = 1): Returns the numeric value if the calculated distance is less than the threshold, otherwise returns NA
For "less than" thresholds (threshold_mask = -1): Returns the numeric value if the calculated distance is greater than the threshold, otherwise returns NA
For regular values (threshold_mask = 0): Returns the numeric value
This function operates on entire matrices at once using vectorized operations, which is significantly faster than processing each element individually.