MATLAB_txt

file to estimate carbon flow

不同算法求解经典八皇后问题。经典问题求解算法之广度优先算法。(Different algorithms to solve the classic problem of eight queens. Classic problem-solving algorithm of breadth-first algorithm.)

说明：  该文件为MATLAB中的garch多元代码工具箱(This file is the GARCH multicode toolbox in MATLAB)

说明：  利用在 MATLAB Simulink 中的 SimMechanics 工具箱，在 Matlab 中搭建了机器人的机构模型，结合运动学数学模型，实现的机器人的运动模拟实验，并且通过末端执行器输入运动参数与输出运动参数的对比，验证了所建立的运动学模型的正确性。最后根据机构的实际限制条件，限制了两个主动臂的最大转动角度，结合正向运动学模型，得到了整个机器人末端执行器的极限运动位置坐标以及整个运动空间(Using the SimMechanics toolbox in MATLAB Simulink, the mechanism model of the robot is built in MATLAB. Combined with the kinematics mathematical model, the motion simulation experiment of the robot is realized. The correctness of the kinematics model is verified by comparing the input and output motion parameters of the end actuator. Finally, according to the actual constraints of the mechanism, the maximum rotation angle of the two active arms is limited. Combined with the forward kinematics model, the limit motion position coordinates and the whole motion space of the end effector of the whole robot are obtained)

说明：  基于遗传算法的matlab求解VRP问题（包含时间窗限制）(Genetic algorithm for VRP)

完整的c版本关于实现马尔科夫链，预测模型的构造(c source code about marcofu)

This is a Random Sequence generator used in Cryptography, Spread Spectrum, Information Security

修改过的较为简单易懂的代码，encode代码为一个单独的循环编码，可根据需要修改采用，前边几个为一个完整的H、G矩阵生成代码，及校验代码，简单易懂，码长，迭代次数各种参数都可根据需要进行修改。(The modified relatively simple code, the encode code for a single cycle code, can be modified according to the need, in front of a few for a complete H, G matrix to generate the code and check code, simple and easy to understand, code length, iteration number of various kinds of parameters can be modified according to the needs of.)

matlab主要的函数与命令，适合菜鸟学习。电子书格式是pdf格式(matlab main functions and command)

Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).(Piled images Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).)