代码搜索:normal

找到约 10,000 项符合「normal」的源代码

代码结果 10,000
www.eeworm.com/read/325233/13217044

cs queuepriority.cs

namespace mCore { using System; public enum QueuePriority { High = 1, Low = 3, Normal = 2 } }
www.eeworm.com/read/325030/13229669

mdl exm1_2.mdl

Model { Name "exm1_2" Version 3.00 SimParamPage "Solver" SampleTimeColors off InvariantConstants off WideVectorLines off ShowLineWidths off ShowPortDataTypes
www.eeworm.com/read/239212/13294086

cs eventshowpicture.cs

using System; using System.Drawing; using System.IO; using System.Threading; using System.Windows.Forms; using NiceTracker.Libraries; namespace NiceTracker.Events { /// /// Su
www.eeworm.com/read/323953/13306642

m ip_04_08.m

% ip_04_08.m added for spar n=10; tol=0.01; p1=0; p2=1; b=10*p2; [a,y,dist]=lloydmax('normal',b,n,tol,p1,p2);
www.eeworm.com/read/238973/13311891

pas suithemes.pas

//////////////////////////////////////////////////////////////////////////////// // // // FileName : SUIThemes.pas // Creator : Shen Min // Date : 2002-08-30 // Comment
www.eeworm.com/read/323728/13324876

mws lcd.mws

www.eeworm.com/read/137160/13341920

m pcldc.m

%PCLDC Linear classifier using PC expansion on the joint data. % % W = PCLDC(A,N) % W = PCLDC(A,ALF) % % INPUT % A Dataset % N Number of eigenvectors % ALF Total explained variance (defau
www.eeworm.com/read/137160/13342352

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
www.eeworm.com/read/137072/13346433

eqn clock.fit.eqn

-- Copyright (C) 1991-2005 Altera Corporation -- Your use of Altera Corporation's design tools, logic functions -- and other software and tools, and its AMPP partner logic -- functions, and any o
www.eeworm.com/read/137046/13347097

m t5_4.m

figure('posi',[400,300,400,200],... 'name','求多项式的根','numbertitle','off','menubar','none','color',[0,1,1]); uicontrol(gcf,'style','text','units','normal','posi',[0.1,0.85,0.8,0.1],... 'strin