-
CalcExpress
很好的算法，可广泛用于各行业（如工控）计算组态(It s a very good arithmetic that can be used at many industries.such as industry control,for caculation configuration.)
- 2005-07-18 17:14:40下载
- 积分：1
-
Y2M.m
使用Y矩阵来综合得到耦合矩阵M中各元素的matlab源代码(The Y matrix to obtain an integrated coupling matrix M of each element matlab source code)
- 2013-09-06 15:25:53下载
- 积分：1
-
fuhecailiaoaaa
计算层合板各层主应力，主应变，及层合板失效强度和极限强度(The layers of laminated plate are calculated principal stress, principal strain, and the failure strength and ultimate strength of laminated plates)
- 2014-08-28 00:11:26下载
- 积分：1
-
GUSS
多点高斯平稳随机过程模拟，运用了快速傅里叶变换进行模拟。(Multi-Gaussian stationary random process simulation, using a fast Fourier transform simulation.)
- 2020-11-02 12:39:53下载
- 积分：1
-
n_queen_QS4
利用QS4算法解决N皇后问题，解决300万的皇后所需时间在5s左右，特别快(Use QS4 algorithm to solve the N-queens problem, solve 3000000 Queen the time required for about 5s, particularly fast)
- 2020-11-29 21:29:27下载
- 积分：1
-
hen_qg73
利用matlab针对图像进行马氏距离计算 ,LDPC码的完整的编译码，线性调频脉冲压缩的Matlab程序。( Using matlab to calculate the Mahalanobis distance for the image, Complete codec LDPC code, LFM pulse compression of the Matlab program.)
- 2017-05-18 19:17:04下载
- 积分：1
-
SUBROUTINE-FILM-DFLUX01-pavement-r
ABAQUS的二次开发，道路厚度与温度对路基的影响，来自廖公云老师的《ABAQUS有限元软件在道路工程中的应用》(ABAQUS secondary development, the road thickness and temperature of the roadbed, from Liao Gongyun teacher "ABAQUS finite element software in road works)
- 2021-03-22 20:19:16下载
- 积分：1
-
LS_SVM
模糊最小二乘支持向量机，用于剔除偏离较远的数据点，减小野值的影响(Fuzzy least squares support vector machine for the deviation from the data points far removed, to reduce the impact of outliers)
- 2013-03-12 11:15:04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
-
diancibo
电磁波走时层析成像图像重建正演反演程序设计(Electromagnetic wave travel tomography image reconstruction inversion inversion program design)
- 2017-04-04 18:23:33下载
- 积分：1
