lipschitz-functions

This paper investigates fixed-architecture neural network approximation with explicit parameter-error trade-offs, using the Chinese Remainder Theorem as a constructive encoding mechanism, and achieves explicit bounds for Lipschitz and Hölder-smooth functions.