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Gauss-Seidel 迭代
- 数据结构中常用的Gauss-Seidel 迭代算法-commonly used data structures, the Gauss - Seidel iterative algorithm
gauss
- 对初学matalb的人很有帮助，可以学会编写函数文件，实现函数的调用。这个源码是gauss的实现方法，实现数值优化。-the code is for people who begin learning matlab to calculate some data.
UnwellLineEquSet-matlab
- 病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结
Gauss
- 高斯插值拟合用，在数据较少的情况下拟合精度慢速要求，三到四阶。-Lagrange interpolation fit to use, in the case of less data fitting precision of slow demand, three to four bands.
Gaussian
- The numerical integration methods described so far are based on a rather simple choice of evaluation points for the function f(x). They are particularly suited for regularly tabulated data, such as one might measure in a laboratory, or obtain fro
Gauss
- 计算高斯坐标，高斯投影坐标，功能比较全，从文件中读取数据，进行坐标转换-Computing Gaussian coordinates, Gauss projection coordinates, function more full, read data from a file, the coordinate transformation
Gauss
- 高斯投影正反算软件。对坐标数据进行高斯投影正反算-Positive and negative Gaussian projection calculation software. Coordinate data on the positive and negative Gaussian projection operator
data-process
- 高斯 牛顿 拟合算法 高斯 牛顿 拟合算法-gauss newton
gauss
- 高斯求解数据结构课程设计代码！带界面，有注释-Gauss to solve the data structures course design code. With the interface, annotated
gauss-number
- 高斯函数产生随机数，并进行了数据输出 ，可画出图像-Gaussian function to generate random numbers, and carried out data output, the image can be drawn
Gauss
- 高斯插值，本程序使用matlab开发环境实现了数值方法的高斯插值内容，方便好用，将所需插值数据加入，即可实现高斯插值-Gaussian interpolation, the program uses matlab development environment to achieve a numerical method of Gaussian interpolation content, easy to use, add the required data interpolation, Gaus
Gauss
- 利用Gauss核密度估计求窗口宽度，只需导入源数据和修改窗口宽度即可计算最优的窗口宽度，方便，简单，实用-Use Gauss kernel density estimation window width requirements, simply import the source data and modify the window width to calculate the optimal width of the window, convenient, simple, practical
Gauss
- 数值方法 编程作业，之前上传了解线性方程组的相关解法，这里主要包括数据拟合、Newton、Romberg、Gauss、Hermite、Runge-Kutta等数值计算涉及的方法-Numerical Methods for programming operations, before uploading understanding of the relevant solution of linear equations, including the method of data fitting h
Gauss-elimination
- 高斯消元法的C++代码实现，用户输入数据后会自动进行高斯消元计算，输出最终结果-Gaussian elimination of C++ code, it will automatically calculate the Gaussian elimination after user input data, output the final result
mulimodel-data-and-feature-selection
- 多模态数据的特征提取方法：时间序列数据及DTW高斯核,图像数据及直方交核 和字符串数据及字符串核-Feature extraction method of multi modal data, time series data and DTW Gauss, the image data and the histogram intersection kernel and string data and String Kernel
gauss-siedl
- gauss seidel algo with 5 bus data
data-00551-en
- This particular feature of GAUSS causes a number of unexpected problems, particularly when using loops to access columns or rows in sequence. If your counter drops to zero (or some unspeciÖ ed values) then you will Ö nd the program operat
Data Acquisition
- 下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相
Gauss Bayes
- 使用高斯贝叶斯函数对已有数据进行分类，有样本集(The Gauss Bayes function is used to classify the existing data.)
data and program
- 对针触式粗糙度测量仪测得的离散数据点进行高斯滤波，得到粗糙度曲线和波纹度曲线。(Gauss filtering is applied to the discrete data points measured by the pin-and-touch roughness measuring instrument to obtain the roughness curve and the waviness curve.)