The computing of the renewal function for a general cumulative distribution function is enough important when the failure process is modeled from the data in a non-parametric manner. This paper describes some recent approaches and their advantages (See the preprint on Web page).

In a free market environment, forest managerial planning could be hardly observed due to financial constraints. A low income confines any afforestation work or clearings, and a low income usually occurs when salvage produce have to be sold instead of main yield for the sake of sustained yield principle. This is a frequent case in Romanian forest management which is based on a quite severe yield schedule aiming at keeping under control the wood by

We outline a new Monte Carlo approach for solving minimization problems. A splitting procedure, which is a controlled random search domain reduction is presented. Algorithm and numerical results are also included.

The Quasi-Gauss-Newton methods for solving general nonlinear systems of equations are described and a convergence theorem for iterative methods in this class is proved. Computational aspects are also discussed. Key words: Quasi-Gauss-Newton methods, generalized inverse