Successive approximation, Newton-Raphson was one nice example, but there's a whole class of things that get closer and closer, reducing your errors as you go along.

逐渐逼近,牛顿迭代是一个很好的例子,随着你不断的时行下去,你会不断的离结果越来越近，逐渐地减少误差。

麻省理工公开课 - 计算机科学及编程导论课程节选

And since we don't have to charge compensate, we can add or subtract neutrons at liberty.

因为我们没有电荷补偿，我们就可以随意地加上火减少中子。

麻省理工公开课 - 固态化学导论课程节选