搜索结果
找到约 3 项符合
approximating 的查询结果
按分类筛选
数据结构 最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)
最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)，作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數，除了多項式之外，指數、對數方程式亦可作為近似函數。關於最小平 ...
CA认证 Cubic spline algorithm approximating function y=f(x) - ((-2)*x*(2*x+3))/(x*x+4*x+5) in interval [-2
Cubic spline algorithm approximating function y=f(x) - ((-2)*x*(2*x+3))/(x*x+4*x+5) in interval [-2 2]
数值算法/人工智能 The Free Finite Element Package is a library which contains numerical methods required when working
The Free Finite Element Package is a library which contains numerical methods required when working with finite elements. The goal of FFEP is to provide basic functions for approximating the solution of elliptic and parabolic PDEs in 2D.