endpoint_detection

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.

Survival times are data that measure follow-up time from a defined starting point to the occurrence of a given event, for example the time from the beginning to the end of a remission period or the time from the diagnosis of a disease to death. Standard statistical techniques cannot usually be applied because the underlying distribution is rarely Normal and the data are often ‘censored’. A survival time is described as censored when there is a follow-up time but the event has not yet occurred or is not known to have occurred. For example, if remission time is being studied and the patient is still in remission at the end of the study, then that patient’s remission time would be censored. If a patient for some reason drops out of a study before the end of the study period, then that patient’s follow-up time would also be considered to be

this programs finds the magnitude and phase response of a second order resonator or any other system

calculation of light going along fiber

说明：  汽车ABS模糊规则建立，简单模糊控制逻辑算法搭建(ABS fuzzy control of automobile)

用c++实现的差分格式求解微分方程。两点边值问题的差分格式( yong chafen geshi shijiande qiujie weifenfangcheng )

A hess and smith panel method code for aerofoil analysis

切比雪夫滤波器的matlab实现代码，数字信号处理(Chebyshev filter matlab to achieve the code, digital signal processing)

说明：  Topsis Matlab function

In mathematics, the discrete-time Fourier transform (DTFT) is one of the specific forms of Fourier analysis. As such, it transforms one function into another, which is called the frequency domain representation, or simply the "DTFT", of the original function (which is often a function in the time-domain).(This file includes matlab source code about DTFT and also includes explanation report)