基于模型函数与L-曲线的正则化参数选取方法
The Method for Choosing Regularization Parameters Based on a Model Function and the L-Curve

基于模型函数方法与修正的L-曲线准则，给出了选取正则化参数的1种迭代算法。在一定条件下，证明了所提出的选取正则化参数的算法是局部收敛的，通过数值算例验证了该方法的局部有效性。
Based on the model function method,the modified L-curve principle is presented and a simple corre-sponding iteration method for choosing regularization parameters is given. Furthermore,the simple iteration method for choosing regularization parameters is proved to be local convergence under some conditions. The method is local-ly efficient by numerical experiments