A fast discretizing Levenberg-Marquardt method via matrix truncated strategy and multilevel iteration method

Key Points

• The optimized algorithm achieves a significantly faster convergence rate compared to traditional methods, improving efficiency.
• Important metrics indicate convergence in under 10 iterations for sample datasets, enhancing performance in practical applications.
• Analysis employing optimization algorithms with matrix truncated strategies facilitates quicker computation.
• The findings highlight potential for increased efficiency in algorithms, urging further exploration of matrix strategies for optimization.