代码搜索：sequential
找到约 1,846 项符合「sequential」的源代码
代码结果 1,846
www.eeworm.com/read/403299/2313096
v cordic_par_seq.v
// CORDIC_par_seq.v Core ALU of a CORDIC rotator,
// word-sequential implementation
//
// Revision information:
// 0.0 07-Jan-2004 Jonathan Bromley
// Initial coding of word-s
www.eeworm.com/read/267614/4264918
bat makent.bat
@setlocal
@set prompt=$g
@set cppflags=-Ox
@rem -DPARALLEL
@set parsecflags=%cppflags%
@rem -sync cons
@set linkflags=
@rem /F400000000
@rem /F is for setting the maximum stacksize (sequential)
www.eeworm.com/read/171979/9727909
m jpeglike.m
function varargout = JPEGlike(arg1, arg2, arg3)
% JPEGlike Entropy encoding (or decoding) in a JPEG like manner
% Coding is very similar to sequential Huffman coding as described in
% William
www.eeworm.com/read/171439/9755334
cs ch4_14.cs
using System;
using System.Runtime.InteropServices;
class CH4_14
{
[System.Runtime.InteropServices.StructLayoutAttribute (LayoutKind.Sequential, CharSet=CharSet.Auto)]
public struct _SY
www.eeworm.com/read/268787/11121928
m jpeglike.m
function varargout = JPEGlike(arg1, arg2, arg3)
% JPEGlike Entropy encoding (or decoding) in a JPEG like manner
% Coding is very similar to sequential Huffman coding as described in
% William
www.eeworm.com/read/189495/8467254
whatsnew-feb22,1996
February 22, 1996 by Robin Miller
The following changes have been made to 'dt' Version 9.4:
o An option has been added to allow random I/O to be selected instead
of the default sequential I/O
www.eeworm.com/read/362142/10016323
m tpl_seq.m
% Template for Matlab mechatronics control programs
% This template is for a single-thread, sequential scheduler
% File:tpl_seq.m
% Created 8/1/95 by DM Auslander
%glbl_var % Read in global de
www.eeworm.com/read/221940/6955988
cs point.cs
namespace Opus6
{
using System;
using System.Runtime.InteropServices;
[StructLayout(LayoutKind.Sequential), Copyright("Copyright (c) 2001 by Bruno R. Preiss, P.Eng."), Version("$Id:
www.eeworm.com/read/201151/7149349
m my_predictstates3.m
function x_predict =my_predictstates3(F,x_samples,Q,numSamples);
% PURPOSE : Performs the prediction step of the sequential SIR algorithm for
% : the model described in the file sirdemo1.m.
%
www.eeworm.com/read/448535/7531474
m nntrain2.m
function [w,err] = nntrain(x,d,nlayer, m,mu,alpha,maxiter,w)
%
% train a neural network using the input/output training data [x,d]
% with sequential selection of the data
%
% function w = nntrai