Then, the solution can be accurately solved by use of Newton Raphson Iteration.

然后，结合牛顿-拉夫森迭代法进行解的精确化。

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Newton Raphson method is used to solve the non linear equations piloted in displacements or in arc length.

非线性方程采用位移引导或弧长引导的牛顿-拉夫森增量迭代法求解。

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Newton Raphson method was introduced into the FEM analysis model in order to ensure that the solution of each iterative step would converge by means of satisfying some restrictive condition.

在有限元分析模型中引入了牛顿迭代法，以使每一时间步长的末端温度满足某一限制条件而平衡收敛。

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Now Isaac Newton and/or Joseph Raphson figured out how to do this kind of thing for all differentiable functions.

既然牛顿和拉复生已经,指数了如何解这种可导函数,因此我们就不用太担心了。

麻省理工公开课 - 计算机科学及编程导论课程节选

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