MLE

复杂网络传染病传播模型在Matlab中仿真的资料，能够帮助研究网络中信息传播机制(Complex networks spread of infectious diseases in Matlab simulation model data that can help in information dissemination mechanism research networks)

内点法计算3节点系统最优潮流 3节点系统(Interior point method to calculate three-node system OPF 3-node system)

说明：  研究高超声速飞行器在纵向的运动情况，对系统的速度和飞行高度进行仿真分析，我们将对在不同的 、 值的条件下分析出系统的最优性能(The longitudinal motion of the hypersonic vehicle is studied, and the system speed and flight height are simulated. We will analyze the optimal performance of the system under different conditions and values.)

说明：  粒子群优化算法，是一种连续空间的优化的算法(Particle swarm optimization is an optimization algorithm for continuous space)

函数逼近，通过拟合进行数值分析运算，拟合函数图像。(function approximation, by fitting numerical analysis operations function fitting image.)

单纯形法，求解线性规划问题的通用方法。这里给出其Matlab源程序(Simplex method for solving linear programming problems common method. Here are its Matlab source)

function [t_fismat, t_error, stepsize, c_fismat, c_error] ... = anfis(trn_data, in_fismat, t_opt, d_opt, chk_data, method) ANFIS Training routine for Sugeno-type FIS (MEX only). if nargin > 6 & nargin < 1, error( Too many or too few input arguments! ) end Change the following to set default train options. default_t_opt = [10 training epoch number 0 training error goal 0.01 initial step size 0.9 step size decrease rate 1.1] step size increase rate Change the following to set default display options. default_d_opt = [1 display ANFIS information 1 display error measure 1 display step size 1] display final result

matlab 最小二乘法 曲线拟合 excel(least squares curve fitting excel matlab)

说明：  克里格法（Kriging，KRG）是由法国统计学家 Matheron 于 1963 年提出的，为纪念南非金矿工程师 Krige（Krige, 1951）曾于 1951 年使用回归方法对空间场进行预测的开创性研究，Matheron 将该方法命名为 Kriging，最开始该方法常被用于对矿产储量分布情况进行预（Matheron, 1963）。目前该方法作为最常用的空间插值算法，被广泛应用于地理科学、环境科学、大气科学等研究中。(Kriging (KRG) method was proposed by Matheron, a French statistician, in 1963. In order to commemorate the pioneering research of Krige (1951), a gold mine Engineer in South Africa, who used regression method to predict the spatial field in 1951, Matheron named this method Kriging. At first, this method was often used to predict the distribution of mineral reserves (Matheron, 1963) . At present, as the most commonly used spatial interpolation algorithm, this method is widely used in geographical science, environmental science, atmospheric science and other research.)

为全国大学数学建模爱好者提供matlab应用平台基础，主要内容是数学建模。(For lovers of the National University of mathematical modeling matlab application platform based on the main contents of the mathematical modeling.)