构造了一种基于并行优化算法的后验概率分析算法，用于对匹配场反演结果进行定量的概率分析。
A posteriori probability analysis method was proposed based on a parallel optimization algorithm, and applied to quantitative analysis of matched inversion results.
本文通过对广义集成优化反演法的论述，结合两个研究对象分析了该技术应用于机械设计的可行性。
Through description of the inverse technique based on general optimization, this thesis studied the reliability and feasibility of applying this technique to mechanical design.
提出了一种反分析目标函数优化算法，该优化算法利用线弹性问题的尺度特性减少了一个优化变量，同时反演结果稳定。
A new optimizing algorithm is also proposed for the model, which, using the scalar effect of elastic problems, reduces optimizing variables by one and achieves stable results.
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