The method of Iterative Dynamic Programming (IDP) was developed by LUU
S [1]. In this study a modified algorithm will be introduced. Its capa
city will be tested in a highly nonlinear optimization problem. The mo
dified algorithm yields the global optimum for this optimization probl
em with a higher probability than the original algorithm. Fewer points
in the control grid are needed to calculate the global optimum, thus
reducing calculation time. Furthermore, a linear reduction of the cont
raction factor accelerates the calculation in this example by 15%.