A.P. Tikhonov

A.P. Tikhonov was a Russian mathematician known for developing methods to solve complex problems where data may be incomplete or noisy. His approach, called Tikhonov regularization, helps find stable, reliable solutions to difficult equations often encountered in science and engineering, such as image reconstruction or signal processing. By adding a small penalty for complexity, Tikhonov's method ensures solutions are less sensitive to errors or fluctuations, making them more practical and accurate in real-world applications. His work has significantly advanced numerical analysis and inverse problem solving.