A computational uncertainty principle was explained by using climate model and the Rossler and super chaos system, and the maximally effective computation time and optimal stepsize are discussed.
针对简化的气候模式、Rossler吸引子和超混沌系统 ,进一步阐明了不确定原理 ,在数值求解时由于计算机固有精度而引起的舍入误差 ,造成对解的不确定性 ,存在最优步长和最大有效计算时间 。
A heuristic optimization path-finding algorithm based on Dijkstra algorithm;
一种基于Dijkstra算法的启发式最优路径搜索算法
A new genetic algorithm for global optimization;
一种新的求全局最优的遗传算法
A theoretical algorithm for the integral-level set global optimization is proposed by Chew Soo Hong,et al,and the Monte-Carlo implementation of the algorithm is discussed.
在ChewSooHong等提出的一个积分──水平集求全局最优的概念性算法及Monte Carlo随机取点的实现途径的基础上,利用遗传算法给出了这一算法的另一种实现途径,并从理论和数值两个方面验证了算法的可行性。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
The optimal regularization smoothing method for the observed experimental data;
实验观测数据的最优正则平滑方法
Optimal Control to Nonlinear Dynamic System at the Boundary Set;
关于动力系统的边界最优控制
Feedback Optimal Solution to Output Transfer Problem of Linear System;
线性系统最优输出转移问题的反馈解