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Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM.

This document will describe some of the general usage of MATLAB s Data Acquisition Toolbox (DAT). The software in the toolbox allows MATLAB to acquire data from sensors and to send out electrical signals that can be used to control or drive external devices. We will be using this toolbox with two different pieces of hardware. One is the sound card built into your laptop, the microphone and speaker will serve as the data acquisition (and output) devices. The sound card provides convenience because it will allow you to test the DAT outside of the lab. We will also be using Measurement Computing data acquisition cards that will ¯ t into your laptops PCMCIA slot, these devices will be in the class laboratory. The data acquisition (DAQ) cards allow your computer to acquire data from many different types of sensors.

戴维.鲁伯特的统计与金融一书的matlab代码( matlab code of<statistics and finance >by David Rupert )

说明：  模拟退火算法应用于光学模拟方向的程序代码(Simulated annealing algorithm is applied to the direction of the optical simulation code)

find roots by search gold metod

reglement_concours_Tss2015 -

it is a single-phase inverter with hysteresis

解析wrf数据，并转化为格点数据,并可以定位任意时次的数据(convert wrf data to grid data)

在matlab中，利用GUI中各句柄之间的关系，进行相应坐标轴中图像的清除工作，对GUI设计中的初始化和重置工作很有用(In matlab using the relationship between the handle to the GUI, corresponding axis image cleanup, useful for initialization and reset the GUI design)

利用matlab对随机过程课程的仿真 1、利用matlab绘制随机过程的谱密度G_x (ω)=2αβ/(β^2+ω^2 ) (α、β为正数)的图像。 2、绘制白噪声的功率谱密度函数G_x (ω)=N/2和自相关函数R_N (τ)=N/2 δ(τ)的图像。 3、分析低通白噪声和带通白噪声的功率谱密度函数和自相关函数的性质并举例同时绘制其图像。 (1, drawn using a random process matlab spectral density G_x (ω) = 2αβ/(β ^ 2+ ω ^ 2) (α, β positive) image. 2 for the white noise power spectral density function G_x (ω) = N/2 and the autocorrelation function R_N (τ) = N/2 δ (τ) of the image. 3, the analysis of low-pass white noise and band-pass white noise power spectral density function and autocorrelation function of the nature and the examples at the same time to draw its graphics.)