【摘要】 PM算法是一种常微分方程初值问题非传统数值解法。为将该算法推广至两点边值问题，作出了如下改进：首先，提出“分离原理”将常微分方程组对应的多目标优化问题转化为多个相对独立的单目标优化问题，进而为引入边界误差训练提供理论基础；随后，在一阶常微分方程组的形式下，发现了二阶常微分方程Ⅰ/Ⅱ型边值问题计算格式的等价性；最后，构造了“保持导数关系假设初值条件”和“引入独立参数逼近初值条件”两种技术方案，完成了对Ⅰ/Ⅱ/Ⅲ型和混合型边值问题的数值求解。更多还原

【Abstract】 PM algorithm, an unconventional numerical method for initial value problems of ordinary differential equations, is investigated. In order to extend the algorithm to the twopoint boundary value problem, the following improvements are made in this paper: Firstly, the separation principle is proposed to transform the multi-objective optimization problem corresponding to ordinary differential equations into several relatively independent single objective optimization problems; Then in the framework of the first order ordinary differential equations,the equivalence of the computational schemes for the Ⅰ/Ⅱ type boundary value problems of the second order ordinary differential equation is established; By maintaining the derivative relation and assuming the initial value condition or introducing independent parameters to approximate the initial value conditions, the improved PM algorithms are derived and can solve the boundary value problems of Ⅰ/Ⅱ/Ⅲ types and even mixed type, with the second-order convergence speed.更多还原