代码搜索：Gradients

找到约 319 项符合「Gradients」的源代码

代码结果 319
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/298842/7931063

res p94.res

Global coordinates Node 1 0.0000E+00 0.0000E+00 Node 2 0.5000E+00 0.0000E+00 Node 3 0.1000E+01 0.0000E+00 Node 4 0.0000E+00 -0.1250E+01 Node 5
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txt ~程序包内容简介.txt

数值线性代数的Matlab应用程序包 共13个程序函数，每个程序函数有相应的例子函数一一对应，以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram－Schmidt orthogonalization 格拉母－斯密特 MGrmSch.m QR因子分解 modified Gram－Schmid
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pro~orig maratos0.pro~orig

donlp2, v3, 05/29/98, copyright P. Spellucci Thu Feb 24 16:54:49 2000 maratos0 n= 2 nh= 1 ng= 0 epsx= 1.000e-05 sigsm= 1.490e-08 startvalue 8.0000000e-01 6.
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m ex10_3.m

% Applied Optimization with MATLAB % P.Venkataraman % Published by John Wiley % Chapter 10: Optimization Toolbox from MATLAB % Section 10.2.3 Constrained Optimization % Example 10.3: %---------
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cat integrofgrad.cat

function [IntGrad] = integrofgrad(vtx,simp,mat_ref); function that calculates the integral of the gradients for first order tetrahedral elements. Required for the calculation of the Jacobian. vt
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integration

Conservatives Primitives Initialisation X calcul v.cons. X
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m status.m

Comments on test results ------------------------ These functions were tested by running MATLAB 4.2c with 1) the MATLAB Optimization Toolbox (on a 486 PC) 2) the shareware UMSOLVE package develope
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m status.m

Comments on test results ------------------------ These functions were tested by running MATLAB 4.2c with 1) the MATLAB Optimization Toolbox (on a 486 PC) 2) the shareware UMSOLVE package develope
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www.eeworm.com/read/395532/8169019

m status.m

Comments on test results ------------------------ These functions were tested by running MATLAB 4.2c with 1) the MATLAB Optimization Toolbox (on a 486 PC) 2) the shareware UMSOLVE package develope
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www.eeworm.com/read/194767/8186706

m tstatapp.m

function tstatx = tstatapp(fun, beta, lambda); % calculated tstats based on hessian and gradients % inputs: fun, beta,lambda hh = myhessian(fun, beta, lambda); dd = myjacobian(fun, beta, lambda);
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