bkm

In addition , the BKM demands less CPU time than the MFS and requires a half memory of the MFS .

边界节点法所需的计算时间比基本解方法略小，同时只需要后者一半的内存空间。

These methods include the traditional RBF and the differential operator-geared RBF collocation methods , i.e.the MFS and the BKM ( boundary knot method ) .

包括通用的径向基函数以及基于算子的径向基函数配置点方法即基本解方法和边界节点方法。

Both the method of fundamental solution ( MFS ) and the boundary knot method ( BKM ) are RBF-based boundary-type meshless methods .

基本解方法和边界节点法是基于径向基函数的两种重要无网格边界离散数值技术。

Specifically , we use BKM model to extract the second moment , third moment under the risk-neutral measure . Combined with the single-factor model , we build the implied beta .

具体而言，本文利用BKM模型，提取风险中性测度下的收益率二阶矩、三阶矩，并结合单因子模型，构建隐含贝塔的求解公式。