This paper deals with the numerical continuation problem of analytic functions $g(z)$ given by $g(z) = \int_\Omega K(z,t) f(t)dt$ where K defines a bounded operator on $L^2 (\Omega )$. It is assumed that g is known over a finite segment A of the real line where g is to be sampled. Our continuation techniques emerged partly from a generalization of the Landweber iteration. We show that a certain discrete approximation of the proposed iterative technique yields two-step (noniterative) algorithms for solving the continuation problem. We also prove convergence of these approximations to the sought function g. Special emphasis on the continuation problem for the case $K(z,t) = e^{ - 2\pi izt} $ is given, and some related numerical examples are presented. The continuation problem when the known part of $g(z)$ is contaminated with some noise is addressed, and some techniques for solving this problem are also provided.