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Description: MatLab的拉格朗日插值法-MatLab Lagrange interpolation
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Size: 3072 |
Author: 胡志超 |
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Description: Matlab中没有现成的Lagrange插值函数,必须编写一个M文件实现Lagrange插值。
设n个节点数据以数组x0,y0 输入(注意Matlat的数组下标从1开始),m 个插值点以数组 x输入,输出数组y 为 m个插值。
编写一个名为lagrange.m的M文件。-Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.
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Size: 1024 |
Author: 贺鼎宏 |
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Description: 一维伽辽金型无网格法MATLAB程序
无网格方法采用基于点的近似,可以彻底或部分地消除网格,不需要网格的初始划分和重构,不仅可以保证计算的精度,而且可以大大减小计算的难度。然而,由于目前的无网格近似一般没有解析表达式,且大都基于伽辽金原理,因此计算量很大,要超出传统的有限元法;另外,无网格近似大都是拟合,因此对于位移边界的处理比较困难,多采用拉格朗日乘子法处理。-1维伽Galerkin-type meshless method MATLAB procedures meshless method based on the point of approximation, can be completely or partially eliminate the grid, the grid does not require the initial division and reconstruction, not only can guarantee the accuracy of the calculation, and can greatly reduce the difficulty of calculation. However, due to the current meshless approximation there is no analytic expression in general, and mostly based on the Galerkin principle, the calculation of a large volume, it is necessary to go beyond the traditional finite element method In addition, the meshless approximation are fitted, so displacement of the border more difficult to deal with, the use of Lagrange law.
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Size: 1024 |
Author: dong |
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Description: % Nevill等插值算法地实现
不会花费大家的时间的
不希望其他人没有帐号自由下载此源码- Nevill, such as interpolation algorithm to realize they would not spend the time we do not want to see other people do not have an account free download the source code
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Size: 2048 |
Author: 要使用 |
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Description: 1.n个节点分段Lagrange插值多项式;
2.使用格式y=lagrange(x0,y0,x,k);
3.输入项x0为n维插值节点向量,y0为n维被插函数值向量;
4.x为m维插值点向量,k为分段插值多项式次数,不超过3,缺省为k=1;
5.输出y为插值点x处的函数值;- 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0, x, k) 3. Input x0 of interpolation nodes for the n-dimensional vector, y0 for n-dimensional vector function to be inserted 4.x interpolation points for the m-dimensional vector, k is the number of sub-polynomial interpolation, not more than 3, the default for k = 1 5. output y for the interpolation points x Department of function
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Size: 1024 |
Author: link |
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Description: matlab各种插值算法应用实例,包括:拉格朗日插值、艾特肯插值法、牛顿插值法、 高斯插值法、 埃尔米特插值法、 分段埃尔米特插值法、样条插值、有理分式插值法、分片双线性插值、二元三点拉格朗日插值及分片双三次埃尔米特插值-a variety of interpolation algorithm matlab application examples include: Lagrange interpolation, Aitken interpolation, Newton interpolation, Gauss interpolation, Hermite interpolation, sub-Hermite interpolation, spline interpolation, rational fraction interpolation piecewise bilinear interpolation, dual three-point Lagrange interpolation and piecewise bi-cubic Hermite interpolation, etc.
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Size: 10240 |
Author: |
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