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拉格朗日插值公式

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Lagrange interpolation focus on the application of the formula .The comparison between the method of Transform and that of Lagrange's interpolation formula in square matrix form is made. Also the form of Lagrange's interpolation formula is generalized to include the double root case.The application of the generalized lagrange's interpolation formula in square matrix to solving state equations is found to be effective.

重点介绍了Lagrange插值公式在状态方程求解中的应用,用对角矩阵及相似矩阵的性质证明了,当状态转移矩阵中方阵的特征根相异时,拉格朗日插值公式与Laplace变换法对表达具有一致性,并用极限方法对方阵含二重根时拉格朗日插值公式的应用进行了推导。

Lagrange interpolation formula, the right to use discrete n data interpolation.

拉格朗日插值公式,对给定的n用离散数据进行插值计算。

VB programmers using the Lagrange interpolation formula code.

详细说明:用VB程序编写的拉格朗日插值公式的代码。

To make up the limitation that the length of secret can not be too long and prevent the action of cheating, using the theory of Jordan matrix,and combining with the formulary of Lagrange,the authors put forward an algorithm of threshold secret sharing with short share.

为弥补传统秘密共享方案秘密长度不能太长的缺点,同时又能防止参与者作弊,利用Jordan矩阵理论,结合拉格朗日插值公式,提出了一种可验证的短份额门限秘密共享算法。

Leastsquare method and Lagrange's interpolation formula see their applicationsfor fitting fore-and-aft lines-whose aim is to calculate the intersection point ofequivalent inclined waterline-and differences. In order to replace theinconvenient alternate conduct of drawing and calculating, improvement hasbeen introduced into the paper which means all work can be done bycomputer. Capacity calculation cannot be done without boundary layer build-up. Fit every area curve and area moment curve is necessary because ofinterpolation.

在第二章中,给出了B样条函数的数学表达形式,推导了B样条曲线下所围面积、面积矩公式;讨论了最小二乘法和拉格朗日插值法的数学形式,并在拟合船体型线上给出首、尾轮廓线的具体实例,对比不同方法进行拟合的差异,其目的是为了求得与等体积倾斜水线的交点;而水线的确定改变了以往人工作图与计算交替进行的不足,尝试用计算机完全代替人工作图,以求有所改进;在舱容计算中,在至少包括舱室前、后壁的范围内拟合横剖面积、面积矩曲线,插值求得任一纵向位置处的剖面,以解决舱室边界条件。

Jacobian Davis iterative method of solving equations AX = B, least squares polynomial fitting, portfolio Simpson formula for integration, with a triangular decomposition method of solving equations AX = B.

拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程

This article describes the Lagrange interpolation formulas basic theory.

本文阐述了拉格朗日插值公式的基本理论。

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