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实验题目:Hermite插值多项式
相关知识:通过n+1个节点的次数不超过2n+1的Hermite插值多项式为:
其中,Hermite插值基函数
数据结构:三个一维数组或一个二维数组
算法设计:(略)
编写代码:(略)
实验用例: 已知函数y=f(x)的一张表(其中 ):
x 0.10 0.20 0.30 0.40 0.50
y 0.904837 0.818731 0.740818 0.670320 0.606531
m -0.904837 -0.818731 -0.740818 -0.670320 -0.606531
x 0.60 0.70 0.80 0.90 1.00
y 0.548812 0.496585 0.449329 0.406570 0.367879
m -0.548812 -0.496585 -0.449329 -0.406570 -0.367879
实验用例:利用Hermite插值多项式 求被插值函数f(x)在点x=0.55处的近似值。建议:画出Hermite插值多项式 的曲线。
-Experiment Title: Hermite interpolation polynomial-related knowledge: By n+ 1 nodes does not exceed the number of 2n+ 1 of the Hermite interpolation polynomial as follows: one, Hermite interpolation basis function data structure: three one-dimensional array or a two-dimensional array algorithm design: (slightly) the preparation of the code: (slightly) experimental use case: a known function y = f (x) of a table (of which): x 0.10 0.20 0.30 0.40 0.50y 0.904837 0.818731 0.740818 0.670320 0.606531m-- 0.904837-0.818731-0.740818-0.670320-0.606531x 0.60 0.70 0.80 0.90 1.00y 0.548812 0.496585 0.449329 0.406570 0.367879m-0.548812-0.496585-0.449329-0.406570-0.367879 experimental use case: the use of Hermite interpolation polynomial interpolation function for by f (x ) in the point x = 0.55 Department approximation. Recommendations: Draw Hermite interpolation polynomial curve.
相关知识:通过n+1个节点的次数不超过2n+1的Hermite插值多项式为:
其中,Hermite插值基函数
数据结构:三个一维数组或一个二维数组
算法设计:(略)
编写代码:(略)
实验用例: 已知函数y=f(x)的一张表(其中 ):
x 0.10 0.20 0.30 0.40 0.50
y 0.904837 0.818731 0.740818 0.670320 0.606531
m -0.904837 -0.818731 -0.740818 -0.670320 -0.606531
x 0.60 0.70 0.80 0.90 1.00
y 0.548812 0.496585 0.449329 0.406570 0.367879
m -0.548812 -0.496585 -0.449329 -0.406570 -0.367879
实验用例:利用Hermite插值多项式 求被插值函数f(x)在点x=0.55处的近似值。建议:画出Hermite插值多项式 的曲线。
-Experiment Title: Hermite interpolation polynomial-related knowledge: By n+ 1 nodes does not exceed the number of 2n+ 1 of the Hermite interpolation polynomial as follows: one, Hermite interpolation basis function data structure: three one-dimensional array or a two-dimensional array algorithm design: (slightly) the preparation of the code: (slightly) experimental use case: a known function y = f (x) of a table (of which): x 0.10 0.20 0.30 0.40 0.50y 0.904837 0.818731 0.740818 0.670320 0.606531m-- 0.904837-0.818731-0.740818-0.670320-0.606531x 0.60 0.70 0.80 0.90 1.00y 0.548812 0.496585 0.449329 0.406570 0.367879m-0.548812-0.496585-0.449329-0.406570-0.367879 experimental use case: the use of Hermite interpolation polynomial interpolation function for by f (x ) in the point x = 0.55 Department approximation. Recommendations: Draw Hermite interpolation polynomial curve.
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