The algorithmic efficiency of Newton-based methods for Free Flight Trajectory Optimization is heavily influenced by the size of the domain of convergence. We provide numerical evidence that the convergence radius is much larger in practice than what the theoretical worst case bounds suggest. The algorithm can be further improved by a convergence-enhancing domain decomposition.

翻译：基于牛顿法的自由飞行轨迹优化算法的效率深受收敛域大小的影响。我们提供的数值证据表明，实际收敛半径远大于理论最坏情况界限所显示的范围。通过收敛增强型区域分解，该算法可进一步改进。