登录
首页 » matlab » legendrefit

legendrefit

于 2008-12-27 发布 文件大小:2KB
0 212
下载积分: 1 下载次数: 85

代码说明:

  Legendre polynomial fitting(勒让德多项式拟合) 该算法程序找出N阶勒让德多项式你的的权值系数 (Legendre polynomial fitting (Legendre polynomial fitting) procedures to identify the algorithm N-order Legendre polynomials your weight coefficient)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • integral
    说明:  积分公式(用锲比雪夫多项式构造积分点公式)(integral formula(using the Cheb. polynomial integral point) )
    2010-04-02 23:46:17下载
    积分:1
  • PAMELA
    由美国SANDIA实验室一名研究员编写的用于计算半导体量子纳米线的一系列matlab文件。(SANDIA laboratory by the American researcher prepared a semiconductor quantum nanowire used to calculate a series of matlab file.)
    2013-08-25 06:39:34下载
    积分:1
  • SPH3DOnTheBook
    Dr. Liu 在《光滑粒子流体动力学--一种无网格方法》一书中提供的光滑粒子流体动力学(SPH)源程序,采用Fortran语言编写,用于计算可压缩流体力学问题。(Dr. Liu in the " Smooth Particle Hydrodynamics- a meshless method," a book provided by the smooth particle hydrodynamics (SPH) source code, using Fortran language, used to calculate the fluid flow problem.)
    2021-01-08 11:58:51下载
    积分:1
  • p11_1
    同心导体球和球壳之间的电势差和感应电荷的计算(Potential difference between the concentric conducting sphere and spherical, and the calculation of the induced charge)
    2012-07-20 10:31:29下载
    积分:1
  • test_read_file
    实现了对文档的数据读入,实现了文档的数据读入(The realization of the document data read into, The realization of the document data read into, )
    2013-08-14 02:15:23下载
    积分:1
  • fit_func
    Fitting curve distribution function拟合曲线分布函数(Fitting curve distribution function)
    2016-04-13 17:06:43下载
    积分:1
  • SHUZHIFENXI
    牛顿迭代法,用于求解非线性方程,具体使用方法见程序内部说明。(Newton iteration for solving nonlinear equations, the specific use of the procedure see the internal note.)
    2007-11-05 09:01:46下载
    积分:1
  • SVD
    % 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法;SVD是最可靠的分解法, % 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A),其中U和V代表二个相互正交矩阵, % 而S代表一对角矩阵。 和QR分解法相同者, 原矩阵A不必为正方矩阵。 % 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组,在Quke2中就用这个来计算图形信息,性能相当的好。在计算线性方程组时,一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)
    2020-12-21 10:29:08下载
    积分:1
  • 2Ddepth-migration
    地震偏移成像:二维叠后深度偏移(相移法)(Seismic imaging: two-dimensional stack depth migration (phase shift method))
    2021-04-06 21:29:02下载
    积分:1
  • filter1
    Particle Filter Design file It contains algorithm for particle filter
    2020-11-09 10:39:48下载
    积分:1
  • 696518资源总数
  • 106227会员总数
  • 11今日下载