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Description: Lagrange插值函数lagr1(x0,y0,x)的matlab源程序：
function y=lagr1(x0,y0,x)
n=length(x0) m=length(x)
for i=1:m
z=x(i)
-Lagrange interpolation function lagr1 (x0, y0, x) Matlab source : lagr1 function y = (x0, y0, x) n = length (x0) m = length (x) for i = 1 : m z = x (i)
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Size: 4058 |
Author: 李从 |
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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。
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Size: 1258 |
Author: 贺鼎宏 |
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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: Lagrange插值函数lagr1(x0,y0,x)的matlab源程序：
function y=lagr1(x0,y0,x)
n=length(x0) m=length(x)
for i=1:m
z=x(i)
-Lagrange interpolation function lagr1 (x0, y0, x) Matlab source : lagr1 function y = (x0, y0, x) n = length (x0) m = length (x) for i = 1 : m z = x (i)
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Size: 4096 |
Author: 李从 |
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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: 一本介绍约束优化方面的经典书籍。对于从事约束优化算法的研究很有帮助。-A book introducing constrained programming. It is beneficial for the algorithm research of constrained programming
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Size: 11524096 |
Author: fd |
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Description: MATLAB最优化计算20例.m文件，包括二次插值，黄金分割，罚函数法，遗传算法，拉格朗日乘子法等-MATLAB Optimization Calculation of 20 cases. M documents, including quadratic interpolation, Golden Section, penalty function method, genetic algorithm, Lagrange multiplier method
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Size: 215040 |
Author: c.k. |
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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: 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: 这是一个实现拉格朗日插值的数学程序，也很经典。-This is a mathematical realization of Lagrange interpolation process is also very classic.
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Size: 1024 |
Author: 清风 |
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Description: lagrange.m proram with matlab
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Size: 4096 |
Author: serojjamali |
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Description: 一种简单实现高斯切比雪夫，拉格朗日，龙哥库塔的插值算法，MATLAB实现-A simple high Siqie Chebyshev, Lagrange, Long Ge Kuta interpolation algorithm, MATLAB implementation
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Size: 1024 |
Author: mayao |
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Description: MATLAB函数参考手册，查看matlab函数作用以及功能。- SVMLSPex02.m
Two Dimension SVM Problem, Two Class and Separable Situation
Difference with SVMLSPex01.m:
Take the Largrange Function (16)as object function insteads ||W||,
so it need more time than SVMLSex01.m
Method from Christopher J. C. Burges:
"A Tutorial on Support Vector Machines for Pattern Recognition", page 9
Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16)
Subject to: sum{ai*yi}=0 ,function (15)
and ai>=0 for any i, the particular set of constraints C2 (page 9, line14).
The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.
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Size: 561152 |
Author: 王东东 |
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Description: matlab 编写的拉格朗日插值函数M文件- the Lagrange interpolation function M file prepared by matlab
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Size: 5120 |
Author: miranda |
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Description:
本学期研一课程开设了数值方法，由于数值计算是MATLAB一项重要功能，所以结合MATLAB学习数值方法也许是条捷径！为了让大家更好的理解课程内容，更熟练第运用matlab解决数值计算问题，我根据上节课的内容，编写了《拉格朗日多项式逼近》与《牛顿多项式逼近》程序，以抛砖引玉，和大家共同提高！（其中部分程序参考数值方法（MATLAB版）一书）
附件里有m文件和详细的使用方法！
希望让大家受益！-Lagrange polynomial approximation
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Size: 2048 |
Author: hanhan |
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Description: This is a file.m (Matlab) with the Lagrange method
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Size: 6144 |
Author: Clarissa |
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Description: 拉格朗日插值法的matlab程序，大家一起学习。-Matlab program of Lagrange s interpolation
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Size: 1024 |
Author: 李晨 |
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Description: lagrange numerical equations matlab program, contains funciton and test .m file
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Size: 1024 |
Author: behrooz |
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Description: Lagrange插值算法，开发环境为matlab，内有注释-Lagrange interpolation algorithm development environment for matlab, there are comments
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Size: 1024 |
Author: Li |
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