代码搜索:Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
www.eeworm.com/read/316300/13525634

cpp simplemc7.cpp

// // // // SimpleMC7.cpp // // #include #include #include // the basic math functions should be in namespa
www.eeworm.com/read/316300/13525635

cpp simplemc.cpp

// // // SimpleMC.cpp // // #include #include #include // the basic math functions should be in namespace std but aren't in VCPP6 #if
www.eeworm.com/read/316300/13525642

cpp simplemc5.cpp

// // // SimpleMC5.cpp // // #include #include #include double SimpleMonteCarlo3(const VanillaOption& TheOption, double Spot
www.eeworm.com/read/316300/13525648

cpp simplemc4.cpp

// // // SimpleMC4.cpp // // #include #include #include // the basic math functions should be in namespace s
www.eeworm.com/read/315912/13534971

asv gngauss.asv

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS 产生两个独立的随机数m和standard .如果输入数据丢失,则用0来替代.
www.eeworm.com/read/315912/13534974

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS 产生两个独立的随机数m和standard .如果输入数据丢失,则用0来替代.
www.eeworm.com/read/314653/13562563

m klldc.m

%KLLDC Linear classifier built on the KL expansion of the common covariance matrix % % W = KLLDC(A,N) % W = KLLDC(A,ALF) % % INPUT % A Dataset % N Number of significant eigenvectors % AL
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m a.m

function a=a(m,p) r=0.2*variance(p); size1=size(p); length=size1(2); x=zeros(length-m+1,m); for i=1:length-m+1 t=[]; for j=1:m t=[t p(i+j-1)]; end x(i,:)=t; end i=1
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m contents.m

% Bootstrap Toolbox % % Communications & Information Processing Group % Cooperative Research Centre for Satellite Systems % School of Electrical & Electronic Systems E
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h newran.h

// newran.h ------------------------------------------------------------ // NEWRAN02B - 22 July 2002 #ifndef NEWRAN_LIB #define NEWRAN_LIB 0 //******************* utilities and definitions ********