代码搜索：performs
找到约 4,693 项符合「performs」的源代码
代码结果 4,693
www.eeworm.com/read/307147/13727561
m denoise_foe.m
function O = denoise_foe(N, model, sigma, niters, delta_t, I)
%DENOISE_FOE Image denoising with FoE model.
% O = DENOISE_FOE(N, P, SIGMA, NITERS, DELTAT) performs image denoising
% of image N us
www.eeworm.com/read/304909/13783540
m enhancederxover.m
function [c1,c2]=enhancederXover(p1,p2,bounds,ops)
% EnhancederXover crossover takes two parents P1,P2 and performs
% enhanced edge recombination crossover on permutation strings.
%
% function
www.eeworm.com/read/304909/13783554
m heuristicxover.m
function [c1,c2] = heuristicXover(p1,p2,bounds,Ops)
% Heuristic crossover takes two parents P1,P2 and performs an extrapolation
% along the line formed by the two parents outward in the direction of
www.eeworm.com/read/147682/5728155
m asptmcfdfxlms.m
% [W,w,x,y,e,p,yF,fxF] = asptmcfdfxlms(NC,W,x,xn,dn,yF,fxF,S,SE,p,mu,b,c)
%
% Performs filtering and coefficient update using the
% Multi Channel Frequency Domain Filtered-x LMS (MCFDFXLMS)
www.eeworm.com/read/131315/5940717
cc tsort.cc
/* Date: Sun, 18 Sep 88 15:57:31 -0700
From: "Douglas C. Schmidt"
The following tool performs topological sorting in O(n + m) average-time
(n
www.eeworm.com/read/489609/6466693
rd mvrcv.rd
%% $Id: mvrCv.Rd 142 2007-10-01 13:10:25Z bhm $
\encoding{latin1}
\name{mvrCv}
\alias{mvrCv}
\title{Cross-validation}
\description{
Performs the cross-validation calculations for \code{mvr}.
}
\usag
www.eeworm.com/read/402420/11535229
m mate.m
function [new_gen,mating] = mate(old_gen)
%MATE Randomly reorders (mates) OLD_GEN.
% [NEW_GEN,MATING] = MATE(OLD_GEN) performs random reordering
% on OLD_GEN. NEW_GEN is the new reordering.
www.eeworm.com/read/250807/12383772
m normraymig.m
function [tray,r]=normraymig(x0,t0,dtdx,params,clr)
% NORMRAYMIG: migrate a normal incidence ray
%
% [tr,r]=normraymig(x0,t0,dtdx,params,clr)
%
% NORMRAYMIG performs normal incidence raytrace mig
www.eeworm.com/read/125501/14489505
m mate.m
function [new_gen,mating] = mate(old_gen)
%MATE Randomly reorders (mates) OLD_GEN.
% [NEW_GEN,MATING] = MATE(OLD_GEN) performs random reordering
% on OLD_GEN. NEW_GEN is the new reordering.
www.eeworm.com/read/124842/14533881
m heuristi.m
function [c1,c2] = heuristicXover(p1,p2,bounds,Ops)
% Heuristic crossover takes two parents P1,P2 and performs an extrapolation
% along the line formed by the two parents outward in the direction of