摘要
提出了曲线拟合问题的一种新途径,这种途径将问题转化为一种无限维优化问题,然后用有限维逼近无限维的优化算法来求解.给出了算法的收敛性,数值实验说明了算法的有效性.
Given a new approach of data fitting, which transforms data fitting into an infinite dimensional optimization problem, and then solves it by using finite dimensional approximating method. Given the convergence result and shown that it is efficiency by using numerical experiment.
出处
《高师理科学刊》
2009年第2期36-38,共3页
Journal of Science of Teachers＇College and University
关键词
曲线拟合
无限维优化
有限维逼近
算法
数值实验
data fitting
infinite dimensional optimization
finite dimensional approximating method
algorithm
numerical experiment
