Entropy Method Matlab Code-Real-Time Repetition Counting Implementation for ICCV Paper

PSO优化算法的MATLAB语言实现，包含英文论文和代码。

数据包络法（DEA） MATLAB 代码，用于计算方案的相对有效率和各项指标的权重。以下是实现步骤： 数据准备：收集各决策单元（DMUs）的输入与输出数据。 模型构建：使用 线性规划 构建DEA模型，选择适当的输入和输出。 计算效率：运用MATLAB的优化工具求解线性规划，得到每个DMU的效率值。 权重分配：根据计算结果，分析各项指标的权重。 结果分析：输出相对效率和权重结果，进行进一步的决策分析。

The Conservative Value Method MATLAB code Distribution_Planning_Lot_sizing_Decomposition.m is used for the Lagrangian Relaxation Method and decomposition algorithms applied to high-speed railway (CSHR) catering services. These programs are coded based on the following works: the time-varying demand and pedestrian congestion-based high-speed railway catering distribution planning problem and the batch-based model and decomposition algorithm developed by the Beijing Jiaotong University Research Team under the guidance of Professor Nie Lei. All these codes were written by Dr. Wu Xin. For any inquiries, please contact him. Your feedback is important to us, and the code will continue to be updated and improved in the future. The code includes three main parts: Main Program: main.m is the key component that initiates all related algorithms. The CPLEX solver used in the file can decompose the mixed-integer programming model into submodels. Therefore, the program will work only if the CPLEX interface is correctly installed in the MATLAB environment. Convex Program: A program that solves a series of single-variable convex maximization submodels. The submodels can be solved using the fmincon function in MATLAB's optimization toolbox. HCEA Functions: All files prefixed with HCEA_ embed the Convex Group Method (Frank Wolfe algorithm) as part of the Hybrid Cross-Entropy Algorithm (HCEA). The implementation of HCEA can be used to compare with the proposed decomposition method. Default settings are provided for various configurations.

The MATLAB code provided here enables the real-time traffic accident impact prediction for both short-term and long-term traffic conditions in Los Angeles. The dataset is sourced from the LADOT (Los Angeles Department of Transportation). The algorithm used is a slight modification of the Collaborative Contextual Bandit Strategy Algorithm, which is based on the idea that when various traffic sensors share information and predict data from other sensors when necessary, the prediction accuracy improves. Disclaimer: Traffic impact prediction uses JxBrowser, which is proprietary software. Use of JxBrowser is subject to the JxBrowser Product License Agreement. For usage in development, contact TeamDev for licensing inquiries.

连接Arduino与MATLAB，确保在运行MATLAB脚本之前修改代码以设置正确的COM端口，并关闭Arduino IDE的串行监视器。

给定组装质量、刚度矩阵和阻尼矩阵，n个自由度的外部载荷矢量，系统对外部载荷的响应使用Wilson Theta逐步积分法计算。在时间步长上，可以根据问题更改Theta值，以调整数值精度和稳定性。 步骤：1. 输入质量、刚度和阻尼矩阵。2. 设定外部载荷矢量。3. 选择合适的Theta值（通常为0.5、1.0等）。4. 逐步计算系统响应。5. 输出计算结果并进行分析。

以下是一个单纯形法的MATLAB实现代码，适合单纯形法入门学习。此程序通过输入标准形式的线性规划问题，求解最优解。程序的基本流程如下： 输入目标函数和约束条件。 将问题转化为标准型。 进行单纯形法迭代，直到找到最优解或判断不可行。 MATLAB代码示例如下： function [x, fval] = simplex(c, A, b) [m, n] = size(A); tableau = [A, eye(m), b; -c', zeros(1, m+1)]; while true % 选择入基变量 [~, pivot_col] = min(tableau(end, 1:n)); if tableau(end, pivot_col) >= 0 break; end % 选择出基变量 ratios = tableau(1:m, end) ./ tableau(1:m, pivot_col); [~, pivot_row] = min(ratios(ratios > 0)); tableau = pivot(tableau, pivot_row, pivot_col); end x = tableau(1:m, end); fval = -tableau(end, end); end function new_tableau = pivot(tableau, pivot_row, pivot_col) new_tableau = tableau; pivot_value = tableau(pivot_row, pivot_col); new_tableau(pivot_row, :) = tableau(pivot_row, :) / pivot_value; for i = 1:size(tableau, 1) if i ~= pivot_row new_tableau(i, :) = tableau(i, :) - tableau(i, pivot_col) * new_tableau(pivot_row, :); end end end 此程序演示了单纯形法的迭代过程，其中pivot函数用于执行每次单纯形迭代中的枢轴操作。输入参数c为目标函数系数，A为约束条件矩阵，b为约束右侧常数。

高斯消元法的MATLAB实现代码，提供了关于矩阵操作的优质源程序。希望大家积极下载，感谢支持！

The Linux Soft Real-Time Target is defined by MathWorks for Real-Time Workshop. The target uses the POSIX real-time clock to generate periodic signals, waking up the model process at each time step. The process runs with the highest priority as defined by the scheduler, requiring root privileges to execute. The Linux soft real-time target does not operate as a hard real-time system because the Linux kernel itself is not preemptive. Thus, model execution can sometimes experience delays. The standard Linux kernel preempts every 10 ms. To achieve higher resolution task switching and improve execution precision, one can modify the HZ value in asm/param.h (included in the kernel source code) and recompile the kernel. To include C S-Functions from other directories, place the rtwmakecfg.m file found in this package into the source directory of the C S-Function. The C S-Function must then be processed accordingly.