nsct_toolbox

该电子书是用MATLAB语言对数值分析进行描述的。例如：矩阵运算，矩阵分解，微分方程求解，函数插值，函数拟合等数值问题。另外对MATLAB绘图进行了一定的介绍。(The book is a numerical analysis using MATLAB language to describe. For example: matrix operations, matrix decomposition, differential equation solving, function interpolation, function approximation and other numerical problems. In addition to the MATLAB graphics, which must be introduced.)

Tsai标定法的matlab实现 完成图像坐标到世界坐标的转换(Tsai calibration method to achieve the completion of the matlab image coordinate to world coordinate conversion)

matlab遗传算法程序，自适应遗传算法(Matlab GA procedures, adaptive Genetic Algorithm)

matlab-jacobi实现matlab上的jacobi迭代法(Matlab- jacobi achieve the Matlab jacobi iteration)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

改进MFO算法火焰更新方式，加快其收敛速度(The flame updating method of MFO algorithm is improved to accelerate its convergence speed)

说明：  噪声对消算法； 消除信号中得噪声； 多传感器处理方法；(Noise cancellation algorithm; Eliminate noise in the signal; Multi-sensor processing method;)

产生两不迥频率的信号，并对两信号作复数FFT变换，找出频率为50Hz的信号对其进行能量计算(Two distant signal is not generated frequency, and two signals for complex FFT transform to identify the frequency of 50Hz signal to calculate its energy)

单相光伏电流双环控制模型，电流内环加电压外环，测试通过直接运行(Single phase photovoltaic current dual loop control model)

GMSK的相关matlab仿真,包括眼图,相位路径,量化等等(GMSK related matlab simulation, including the eye, the phase path, quantification, etc.)