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sdarticle(2).pdf
SDELab article describing the usage and application of the package to solve stochastic equations
- 2009-12-22 22:44:31下载
- 积分：1
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Linear_Discriminant_Analysis
Linear Discriminant Analysis LDA
- 2010-02-09 21:08:30下载
- 积分：1
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ABS
实现滑移率控制的制动防锁死系统，Bangbang控制(Slip ratio control brake anti-lock system, Bangbang control)
- 2013-03-08 14:27:00下载
- 积分：1
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getImage
读入视频，将视频转换成JPG格式的图片，并获取所需要的图片。(Read video,convert video to images and capture needed pictures.)
- 2010-06-09 20:28:29下载
- 积分：1
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fft
fft离散傅立叶变化，广泛应用数字信号处理中。(Discrete Fourier fft change, the wider use of digital signal processing.)
- 2009-03-01 16:55:44下载
- 积分：1
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bathe_time_new
An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable, without the use of adjustable parameters, when the
commonly used trapezoidal rule results in unstable solutions. In this paper we focus on additional important attributes of the scheme, and specifi cally on showing that the procedure can also be effective in linear analyses. We give, in comparison to other methods, the spectral radius, period elongation, and amplitude decay of the scheme and study the solution of a simple ‘model problem’ with a very fl exible and stiff response.
- 2013-11-18 00:44:24下载
- 积分：1
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pls1
matlab下偏最小二乘回归模型
交叉有效性验证，及奇异点发现
(matlab partial least-squares regression model of cross-validation, and the singular points found)
- 2009-06-22 11:36:11下载
- 积分：1
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matlab-program
利用棋盘格标定相机内参数的matlab程序(Calibration of camera parameters using the checkerboard matlab program)
- 2014-01-15 22:12:11下载
- 积分：1
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szfxsy1
实验一：三次样条插值（P56，例6）
一、实验目的：
1) 掌握三次样条插值的运用
2) 了解拉格朗日插值在高次上的误差
二、实验环境：Matlab6.5
三、实验内容：
1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。
2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。
(Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)
- 2009-01-18 23:06:15下载
- 积分：1
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pso_Trelea_vectorized
pso optimization program
- 2011-01-31 13:32:51下载
- 积分：1
