{'fraction_non_alphanumeric': 0.016216216216216217, 'fraction_numerical': 0.0, 'mean_word_length': 5.619047619047619, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Near-Optimal Solution of Generalized Resource Allocation Problems with Large Capacities

We consider problems of allocating resources to activities where the allocation to each activity is restricted to a general set of admissible values, the objective function is additively-separable but not necessarily concave nor differentiable, and each activity uses at most one resource. We develop a simple algorithm, based on a nonsmooth convex relaxation, that generates a near-optimal solution whenever each allocation is a small fraction of resource capacity.