nonlinear pseudorandom number generator, of the inversive generator, and of a new nonlinear generator called quadratic exponential generator. The results are interesting for applications to cryptography and Monte Carlo methods.
We obtain lower bounds on the linear and nonlinear complexity profile of a general nonlinear pseudorandom number generator, of the inversive generator, and of a new nonlinear generator called quadratic exponential generator. The results are interesting for applications to cryptography and Monte Carlo methods.