This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.
標(biāo)簽： can entering command MATLAB
上傳時(shí)間： 2016-11-07
上傳用戶(hù)：偷心的海盜
Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user with function definitions entered in the appropriate spaces provided on the GUI. The user can change the number of Gauss points to use. Function inputs need not accept vector args.
標(biāo)簽： volume user-defined quadrature Gaussian
上傳時(shí)間： 2013-12-13
上傳用戶(hù)：417313137
數(shù)值計(jì)算算法，包括： （1）Lagrange插值 （2）Newton 插值 （3）求f(x0)：秦九韶法 （4）求實(shí)系數(shù)多項(xiàng)式f(z0)。z0為復(fù)數(shù)（5）二分法求f(x)=0的根 （6）弦截法求f (x)=0的根 （7）求實(shí)系數(shù)多項(xiàng)式 方程的實(shí)根、復(fù)根 （8）解線(xiàn)性方程組：Gauss列主元素消去法( 9 )快速弗利葉變換（FFT）
標(biāo)簽： 數(shù)值計(jì)算 算法
上傳時(shí)間： 2016-11-15
上傳用戶(hù)：a3318966
This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of ％ weights in the network if the network has been trained with ％ weight decay, an estimate of the noise variance, and the Gauss-Newton ％ Hessian. ％
標(biāo)簽： generalization calculates prediction function
上傳時(shí)間： 2014-12-03
上傳用戶(hù)：maizezhen
This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) ％ produces the final prediction error estimate (fpe), the effective number ％ of weights in the network if it has been trained with weight decay, ％ an estimate of the noise variance, and the Gauss-Newton Hessian. ％
標(biāo)簽： generalization calculates prediction function
上傳時(shí)間： 2016-12-27
上傳用戶(hù)：腳趾頭
用matlab解決一些數(shù)值分析中常用的算法，如牛頓法、gauss、romberg等
上傳時(shí)間： 2017-01-25
上傳用戶(hù)：bruce5996
生成均勻分布偽隨機(jī)數(shù)的c程序代碼，用來(lái)生成gauss隨即數(shù)
上傳時(shí)間： 2014-12-06
上傳用戶(hù)：685
一個(gè)求函數(shù)積分的工具（c/c++寫(xiě)的，用Gauss/legendre方法）
上傳時(shí)間： 2013-11-26
上傳用戶(hù)：semi1981
Copy the code into your your JSP directory under /usr/local/etc/httpd/htdocs/html/LOGIN. You will need to change the xxxxxx of "con=DriverManager.getConnection["jdbc:mysql://localhost/"+db,user,"xxxxxxx"] " to reflect your MySQL password. Copy the HTML form above to the same directory above or to your public_html directory and use it connect to your database via the JSP code. Replace the test418 with your database name and the URL with your JSP URL.
標(biāo)簽： your directory htdocs LOGIN
上傳時(shí)間： 2017-03-26
上傳用戶(hù)：zq70996813
NanoStack is a 6lowpan IPv6 + IEEE 802.15.4 protocol stack, enabling wireless embedded and sensor networking. The goal is to help 6lowpan spread globally and to encourage new features from the IETF and ISA100 to be implemented and tested.
標(biāo)簽： NanoStack enabling embedded protocol
上傳時(shí)間： 2014-01-21
上傳用戶(hù)：牧羊人8920
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