Numerical-Methods-in-Engineering-with-MATLAB

matlab程序设计教程 讲的比较详细 是ppt格式(matlab ppt)

对数据进行预处理的程序，希望用本程序把这些到期收益率（标准期限）数据拿出来组成一个数据集以备分析之用。(Data pretreatment procedures, hope to use this procedure to these yield to maturity (standard period) data show the formation of a data set for analysis.)

一个用bp 来优化pid 参数的matlab 源程序。(A bp to optimize the use of pid parameters matlab source.)

Code to determine the relationship between utility and price in a cooperative network

一种常用的且易于工程实现的分数延时滤波器设计算法加窗法仿真，可以通过设定不同的滤波器阶数观察分数延时滤波器的幅频和相频响应。(A commonly used and easy to implement fractional delay filter design algorithm windowing simulation, you can set the filter order to observe the fractional delay filter amplitude and phase frequency response.)

拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数（微分）,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B(Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differential equations, Limit the use of derivative solving differential (differential), the equations of N = 4 Runge- Kutta method. Jacobian Davis iterative method of solving equations AX = B, least squares polynomial fitting, portfolio Simpson formula for integration, with a triangular decomposition method of solving equations AX = B. )

Matlab 无标度网络 可以任意增加节点，边的数量(Matlab scale-free network nodes can be arbitrarily increased, the number of edges)

说明：  该程序用于在实验中所测量的振动、噪声、水声以及数值模拟监测所得到的信号，实现信号的频谱分析。(The program is used to measure the vibration, noise, underwater sound and the signal obtained by numerical simulation monitoring in the experiment to realize the spectrum analysis of the signal.)

The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.(The purpose of this paper is to provide a pra ctical introduction to the discrete Kalman fil ter. This introduction includes a description and some discussion of the basic discrete Kalma n filter, a derivation. description and some discussion of the extende d Kalman filter. and a relatively simple (tangible) example wit h real numbers)

Pattern Recognition and Machine Learning Solutions to the Exercises