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单词 Lagrange polynomials
释义

Lagrange polynomials

中文百科

拉格朗日插值法 Lagrange polynomial

(重定向自Lagrange polynomials)
已知平面上4个点:(−9, 5), (−4, 2), (−1, −2), (7, 9),拉格朗日多项式:L(x)(黑色)穿过所有点。而每个基本多项式:y0ℓ0(x), y1ℓ1(x), y2ℓ2(x)以及y3ℓ3(x)各穿过对应的一点,并在其它的三个点的x值上取零。
拉格朗日插值法的数值稳定性:如图,用于模拟一个十分平稳的函数时,插值多项式的取值可能会突然出现一个大的偏差(图中的14至15中间)

在数值分析中,拉格朗日插值法是以法国18世纪数学家约瑟夫·拉格朗日命名的一种多项式插值方法。许多实际问题中都用函数来表示某种内在联系或规律,而不少函数都只能通过实验和观测来了解。如对实践中的某个物理量进行观测,在若干个不同的地方得到相应的观测值,拉格朗日插值法可以找到一个多项式,其恰好在各个观测的点取到观测到的值。这样的多项式称为拉格朗日(插值)多项式。数学上来说,拉格朗日插值法可以给出一个恰好穿过二维平面上若干个已知点的多项式函数。拉格朗日插值法最早被英国数学家爱德华·华林于1779年发现,不久后(1783年)由莱昂哈德·欧拉再次发现。1795年,拉格朗日在其著作《师范学校数学基础教程》中发表了这个插值方法,从此他的名字就和这个方法联系在一起。

英语百科

Lagrange polynomial 拉格朗日插值法

(重定向自Lagrange polynomials)
This image shows, for four points ((−9, 5), (−4, 2), (−1, −2), (7, 9)), the (cubic) interpolation polynomial L(x) (dashed, black), which is the sum of the scaled basis polynomials y0ℓ0(x), y1ℓ1(x), y2ℓ2(x) and y3ℓ3(x). The interpolation polynomial passes through all four control points, and each scaled basis polynomial passes through its respective control point and is 0 where x corresponds to the other three control points.
Example of interpolation divergence for a set of Lagrange polynomials.
拉格朗日插值法的数值稳定性:如图,用于模拟一个十分平稳的函数时,插值多项式的取值可能会突然出现一个大的偏差(图中的14至15中间)

In numerical analysis, Lagrange polynomials are used for polynomial interpolation. For a given set of distinct points x_j and numbers y_j, the Lagrange polynomial is the polynomial of the least degree that at each point x_j assumes the corresponding value y_j (i.e. the functions coincide at each point). The interpolating polynomial of the least degree is unique, however, and it is therefore more appropriate to speak of "the Lagrange form" of that unique polynomial rather than "the Lagrange interpolation polynomial", since the same polynomial can be arrived at through multiple methods. Although named after Joseph Louis Lagrange, who published it in 1795, it was first discovered in 1779 by Edward Waring and it is also an easy consequence of a formula published in 1783 by Leonhard Euler.

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更新时间:2025/6/16 22:53:06