Constrained-optimization-problem

job shop scheduling for single machine

在matlab环境下编写的简易计算器，能够进行四则运算和正弦余弦，x的y次方运算，对数运算等相关运算(In the matlab environment prepare a simple calculator that can perform arithmetic calculations and sine cosine, x of y th arithmetic, logarithmic arithmetic operations and other relevant)

说明：  实现flody算法，功能：计算任意两点之间距离(Achieve flody algorithm functions: calculate the distance between any two points)

说明：  基于matlab的直接序列扩频系统抗干扰性能仿真(Simulation of Anti-jamming Performance of Direct Sequence Spread Spectrum Communication System Based on MATLAB)

PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues ​ ​ of the covariance, the biggest feature is the first in one direction, from and so on.)

说明：  通过一维映射和二维映射的软判决解码，以减少误码率(the soft-decision of 1D-SD and 2D-SD)

说明：  控制算法控制算法控制算法控制算法控制算法控制算法(Control algorithm for control algorithms control algorithm to control algorithms control algorithms control algorithm)

消除左递归，包括自上而下的非递归分析和自上而下的分析(Eliminate left recursion, including non-recursive top-down analysis and top-down analysis)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)

文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。(This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example.)