A new geometric constraint solving method is presented.
提出了一种新的几何约束推理求解算法。
This algorithm is applied into the geometric constraint solving.
将此混合算法应用于几何约束求解中。
We transform the geometric constraint solving into the numerical optimization solving.
将几何约束问题转化为数值优化问题。
It transforms the geometric constraint solving into the numerical optimization solving.
将几何约束问题转化为数值优化问题。
There is more practical significance for the research of geometric constraint solving, which is the core of parametric technology and variable technology.
该算法使得作为参数化技术和变量化技术的核心问题：几何约束求解的研究更具有实际意义。
Variational design is the kernel of contemporary CAD technology. There are many solving methods for geometric constraint solving at the aim of variational design, but they all have some limitations.
变量化技术是当代CAD技术的核心，以实现变量化设计为目的的几何约束求解有多种方法，但它们都存在一定的局限性。
Variational design is the kernel of contemporary CAD technology. There are many solving methods for geometric constraint solving at the aim of variational design, but they all have some limitations.
变量化技术是当代CAD技术的核心，以实现变量化设计为目的的几何约束求解有多种方法，但它们都存在一定的局限性。
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