Newton--Raphson-power-flow

DMC算法的实现和参数对其响应的影响程序加分析。(DMC algorithm implementation and the impact of process parameters on its response to any analysis.)

this function calculate Granger causality relation between X and Y witch both are N by 1 vectors

迭代自组织数据分析，部分实现了追踪测速迭代松弛算法，研究生时的现代信号处理的作业，处理信号的时频分析，大学数值分析算法，可以广泛的应用于数据预测及数据分析,包含CV、CA、Single、当前、恒转弯速率、转弯模型，有PMUSIC 校正前和校正后的比较。( Iterative self-organizing data analysis, Partially achieved tracking speed iterative relaxation algorithm, Modern signal processing jobs when the graduate, When processing a signal frequency analysis, University of numerical analysis algorithms, Can be widely used in data analysis and forecast data, It contains CV, CA, Single, current, constant turn rate, turning model, A relatively before correction and after correction PMUSIC.)

Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilters) block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood noise: signal with the same autocorrelation as the noise parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero). JPM, Univ. de Granada, 3/03

说明：  热能工程专业硕士研究生毕业课题：遗传算法目标函数优化(Thermal engineering graduate Master' s graduate student issues: genetic algorithm to optimize the objective function)

modelseis, seismic modeling forward and inverse modeling,

二连杆机械臂末端运动域计算，需要给定质量、杆长(Two-linkage manipulator end of the sports domain, the needs of a given quality, long rod)

this project compares two text in txt format for plagiarisim detection.this script show how works winnoing method and return similarity in form of figure between 0 to 100.

用最小二乘法对未知二阶系统进行辨识，最小二乘部分采用matlab的s-function功能。整个程序为simulink仿真(The least square method to identify the unknown second-order system, least squares part of the s-function using matlab function. Simulink simulation of the entire procedure)

An Introduction to Pattern Recognition: matlab approach