geodistance.m-MATLAB Function to Calculate Geodesic Distance Between Two Points

The Euclidean distance between points p and q is the length of the line segment that connects them. For two points (p(x_1, y_1)) and (q(x_2, y_2)), the Euclidean distance (d) is calculated as: [ d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2} ] This formula represents the straight-line distance in a two-dimensional space. In MATLAB, you can compute this distance using the following code snippet: p = [x1, y1]; q = [x2, y2]; d = sqrt(sum((p - q).^2)); d For more details, you can refer to the Wikipedia page.

高斯点和权重在数值积分中起着重要作用。通过使用微分和积分矩阵，我们可以提高计算精度。以下是相关的MATLAB代码示例，用于计算给定节点的高斯点和权重。

介绍如何使用 MATLAB 实现对图像的 打码 功能。主要步骤包括加载图像、选择要打码的区域，并应用 模糊 处理。最后，保存修改后的图像以供使用。

垂直/距离功能说明 2.1.9 垂直/距离功能可以依指定距离生成一个垂直（法线）方向的点。该点与选取的线条（包括直线、曲线、圆弧、样条曲线）保持指定的长度，且该点与指定点的连线垂直于被选取的线条。

Matlab's standard subplot function leaves large blank spaces around the plot area, and users have no control over them. Spaceplots is a function designed to control these spaces. The goal is to save space by creating compact subplots, and I wrote this function for that purpose. I believe it could be useful for others as well. First, create your figure and then use Spaceplots. This is a very non-intrusive feature. It works for all subplot arrangements, including mixtures of large and small plots. It retains the axis arrangement in the grid when manipulating the figure. It does not apply to multiple plots created by any function other than Matlab's default subplot. I hope the function is simple enough that anyone can fix bugs or make modifications that suit their needs.

Rootshufflem is a Matlab function designed for sorting the roots and eigenvalues of a matrix. This tool enhances the analysis of polynomial equations and dynamic systems by providing a systematic way to organize and manipulate eigenvalue data.

介绍了两种MPS参数优化方法的程序代码，基于GLCM的方法主程序是“GLCM_Method.m”，依赖于“GrayCoMatrix.m”和“HsimSimilarity.m”。此外，使用的第三方代码包括“sort_nat.m”和“rotateticklabel.m”。基于深度学习的方法主程序为“Program.cs”，相关文件有“Preprocessing_ImageFolder”、“ImageNetData.cs”及“MyDataTable.cs”。使用前需解压缩“demo data.rar”与“ML_Assets.rar”。

This MATLAB code demonstrates the use of two mirrors to perform 3D reconstruction. The process involves capturing reflected images from the mirrors and using these images to reconstruct a 3D object. The mirrors' positioning plays a crucial role in accurate depth perception and image synthesis for the final model.

在 MATLAB 中，polyfix(x, y, n, xfix, yfix, xder, dydx) 函数允许你拟合一个多项式到数据，但同时强制在一个或多个指定的点上与已知值完美匹配。此函数的用途非常广泛，特别是在数据拟合中需要某些点精确符合某些已知条件时。该函数返回满足这些条件的最佳拟合多项式。 输入参数：- x, y: 给定的数据点。- n: 多项式的阶数。- xfix, yfix: 需要强制匹配的点的 x 和 y 值。- xder, dydx: 强制匹配的点的导数值。 输出：一个拟合后的多项式，能够在指定的点上精确匹配给定的值和导数。 这种方法非常适合那些在某些特定条件下，需要保证拟合曲线通过已知点或具有已知斜率的场景。通过这种方式，我们能够得到一个既符合数据趋势，又符合物理或实验需求的多项式。