{'fraction_non_alphanumeric': 0.01818181818181818, 'fraction_numerical': 0.0, 'mean_word_length': 5.333333333333333, '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}}
WORST CASE ANALYSIS OF RANDOM CIRCUITS USING TAYLOR MODELS AND BERNSTEIN POLYNOMIALS TECHNIQUES

In this paper, a novel paradigm to optimize the Taylor models based worst-case analysis results of random circuits responses in time domain has been proposed. The methodology leverages the so-called Bernstein polynomials to yield a conservative, yet tight, prediction of the worst case bounds. This proposed framework has been used and verified in the time-domain analysis of an exemplary linear circuit, which demonstrated its feasibility and strength.