bem_acoustic

清华大学数学实验之一元与多元回归分析之幻灯片与MAT源码(Tsinghua University, one math test and multiple regression analysis element of the slide with the MAT-source)

L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。(L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, change method can fast and accurate approximation convergence value.This paper briefly describes the operating principle of change method and concrete application, such as easy to solve constrained and unconstrained optimization.)

Run DC power flows and calculate network response of three tie lines for any additional MW transfer from Area to area

SVM回归，用于实现支持向量机（SVM ）回归拟合的问题。可以用来做一些短期的预测，如短期负荷预测。(svm regression, used to implement support vector machine (SVM ) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

matlab file for calculating the taxes based on some input

matlab7从入门到精通PPT教程，共10章，学习matlab较简单的资料(matlab7 ppt)

一个多种复杂网络生成程序包，功能自行下载观看。(one package of complex network program with matlab.)

fdtd 1d photonic crystal Band diagram

Kamath于2002年提出的多频带谱减法 联合开发网 - pudn.com