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/165570/5481112
java testobjectfile.java
import dslib.file.ObjectFileUos;
public class TestObjectFile
{
/** Show how sequential access to objects in a file can be
achieved by using the ObjectFileUos class */
TestObjectFile()
{
www.eeworm.com/read/405149/2294751
c assistant.c
/* Assistant
*
* Demonstrates a sample multistep assistant. Assistants are used to divide
* an operation into several simpler sequential steps, and to guide the user
* through these steps.
*/
#i
www.eeworm.com/read/361182/2951332
cs sqlitetypenames.cs
namespace Imps.Client.Data
{
using System;
using System.Runtime.InteropServices;
[StructLayout(LayoutKind.Sequential)]
internal struct SQLiteTypeNames
{
internal
www.eeworm.com/read/361182/2952381
cs suspender.cs
namespace Imps.Client
{
using System;
using System.Runtime.InteropServices;
[StructLayout(LayoutKind.Sequential)]
public struct Suspender : IDisposable
{
private
www.eeworm.com/read/393447/8287164
c assistant.c
/* Assistant
*
* Demonstrates a sample multistep assistant. Assistants are used to divide
* an operation into several simpler sequential steps, and to guide the user
* through these steps.
*/
#i
www.eeworm.com/read/182175/9213540
m ekfdemo2.m
% PURPOSE : Sequential Tracking of Options Prices with an MLP model.
% The model is estimated both with a plain extended Kalman filter
% (EKF) and an EKF where the process noise covarian
www.eeworm.com/read/159921/10588182
c smoker.c
/* --------------------------------------------------------------------
[Alpha,bias,nsv,trn_err,margin] = smoker( K, labels, C, eps, tol, Alpha, bias )
Sequential Minimal Optimizer.
Make executabl
www.eeworm.com/read/421949/10676861
c smoker.c
/* --------------------------------------------------------------------
[Alpha,bias,nsv,trn_err,margin] = smoker( K, labels, C, eps, tol, Alpha, bias )
Sequential Minimal Optimizer.
Make executabl
www.eeworm.com/read/328079/13047110
m predictstates.m
function xu = predictstates(x,segma);
% PURPOSE : Performs the prediction step of the sequential SIR algorithm for
% : the model described in the file pfbiradar.m.
% INPUTS : - x = The st
www.eeworm.com/read/317899/13493374
m ekfdemo2.m
% PURPOSE : Sequential Tracking of Options Prices with an MLP model.
% The model is estimated both with a plain extended Kalman filter
% (EKF) and an EKF where the process noise covarian