摘要
随着大数据时代的来临,数据处理与数值计算在科学研究中显得尤为重要.介绍了区间分段的基本思想,阐述了区间分段在插值法、定积分数值解及常微分方程数值解等3种数值计算中的应用,并给出了相应的数值步骤,以达到减少数值计算量和提高数值计算精度的目的.
With the advent of big data, data processing and numerical calculation are particularly important in the scientific research. Introduces the method of interval segmentation, describes it＇s application on three kinds of numerical calculation including interpolation method, numerical solution of definite integral and ordinary differential equation, and provides the corresponding numerical procedure, which purpose is to reduce numerical calculation and improve numerical accuracy.
作者
宁娣
NING Di(School of Mathematics and Statistics, South-Central University for Nationalities, Wuhan 430074, Chin)
出处
《高师理科学刊》
2017年第9期68-70,共3页
Journal of Science of Teachers＇College and University
基金
全国统计科学研究计划项目(2014LY020)
中南民族大学校级教研项目(JYX14020)--<数值分析>双语教学的探究与实践
关键词
区间分段
数值计算
插值法
定积分
常微分方程
interval segmentation
numerical calculation
interpolation method
definite integral
ordinance differential equation
