代码搜索：performs

找到约 4,693 项符合「performs」的源代码

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m mregress.m

function [Coefficients, S_err, XTXI, R_sq, F_val, Coef_stats, Y_hat, residuals, covariance] ... = mregress(Y, X, INTCPT) % MREGRESS Performs multiple linear regression analysis of X (indep
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www.eeworm.com/read/284998/8877813

cpp trashprototypeinit.cpp

//: C09:TrashPrototypeInit.cpp {O} // From Thinking in C++, 2nd Edition // Available at http://www.BruceEckel.com // (c) Bruce Eckel 2000 // Copyright notice in Copyright.txt // Performs initiali
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www.eeworm.com/read/426833/8996531

m ghm.m

function b=GHM(a) %GHM Single-level discrete 2-D multiwavelet transform. % GHM performs a single-level 2-D multiwavelet decomposition % using GHM multiwavelet with four multi-filters % % Y
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www.eeworm.com/read/426833/8996546

m ighm.m

function a=IGHM(b) %IGHM Single-level inverse discrete 2-D multiwavelet transform. % IGHM performs a single-level 2-D multiwavelet reconstruction % using GHM multiwavelet with four multi-filter
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www.eeworm.com/read/185152/9054832

m solvopt.m

function [x,f,options]=solvopt(x,fun,grad,options,func,gradc) % Usage: % [x,f,options]=solvopt(x,fun,grad,options,func,gradc) % The function SOLVOPT performs a modified version of Shor's r-algorith
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www.eeworm.com/read/281980/9125409

cpp lut.cpp

#include "mex.h" #include #include #include #include /* * performs LUT on an array: B[k] = A[LUT[k]] * * Usage: * B = mylut(A, LUT) * * Inputs: *
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www.eeworm.com/read/281673/9142454

cpp trashprototypeinit.cpp

//: C09:TrashPrototypeInit.cpp {O} // From Thinking in C++, 2nd Edition // Available at http://www.BruceEckel.com // (c) Bruce Eckel 2000 // Copyright notice in Copyright.txt // Performs initiali
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www.eeworm.com/read/375075/9373494

m bnnextstate.m

function y = bnNextState_new(x,F,varF,nv) % y = bnNextState(x,F,varF,nv) - one step of a Boolean Network % This function performs one step of a BN. The current state is x (binary % vector of 1 x
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www.eeworm.com/read/355030/10299889

cpp trashprototypeinit.cpp

//: C25:TrashPrototypeInit.cpp {O} // From Thinking in C++, 2nd Edition // Available at http://www.BruceEckel.com // (c) Bruce Eckel 1999 // Copyright notice in Copyright.txt // Performs initiali
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www.eeworm.com/read/161189/10439665

m cgls.m

function [X,rho,eta,F] = cgls(A,b,k,reorth,s) %CGLS Conjugate gradient algorithm applied implicitly to the normal equations. % % [X,rho,eta,F] = cgls(A,b,k,reorth,s) % % Performs k steps of the c
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