<table id="66088"></table> <table id="66088"></table> HashTable實例 public class HashTable_msg { public HashTable_msg() { String sum_sql="select mobilenum,count(*) from SJSJ_Msg where (left(in_date,6)=(select left(CONVERT(varchar(12) , getdate(), 112 ),6)))group by mobilenum" Hashtable<String,Integer> ht = new Hashtable<String,Integer>() try{ ResultSet rs= DBAccess.getInstance().select(sum_sql) while(rs!=null) { ht.put(rs.getString(1),rs.getInt(2)) rs.next() } } catch (Exception e) { Logs.printError(e) } } }
標簽： HashTable_msg public HashTable sum_sql
上傳時間： 2014-12-07
上傳用戶：a6697238
Solves the incompressible Navier-Stokes equations in a rectangular domain with prescribed velocities along the boundary. The standard setup solves a lid driven cavity problem.
標簽： incompressible Navier-Stokes rectangular prescribed
上傳時間： 2013-11-25
上傳用戶：15736969615
a PML FDTD. computational domain
標簽： computational domain FDTD PML
上傳時間： 2017-05-23
上傳用戶：獨孤求源
public class DBClass { private String driver private String url private String username private String password private Connection connection private Statement statement private String message="" }
標簽： private String DBClass public
上傳時間： 2017-05-23
上傳用戶：c12228
public class month1{ public static void main(String [] args){ int month = 10 int days = 0 switch(month){ case 1: days = 31 case 2: days = 28 case 3: days = 31
上傳時間： 2014-08-26
上傳用戶：chenbhdt
public class guestbook{ String sDBDriver = "sun.jdbc.odbc.JdbcOdbcDriver" String sConnStr = "jdbc:odbc:guestbook" Connection conn = null ResultSet rs = null
標簽： String JdbcOdbcDriver guestbook sDBDriver
上傳時間： 2017-05-23
上傳用戶：qiaoyue
Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics
標簽： Identification Statistics Frequency Domain
上傳時間： 2017-05-24
上傳用戶：VRMMO
XML Copy Editor is free software released under the GNU General Public License. It is available in Chinese (simplified and traditional), English, French, German, Italian, Slovak, Swedish and Ukrainian. There are Linux packages for Arch, Fedora, Gentoo, Slackware and Ubuntu.
標簽： available software released General
上傳時間： 2013-12-20
上傳用戶：lizhizheng88
An important book that cover wavelet domain. It help a lot in understanding wavelets and their applications. Beside explanations of the transform and application of this, there are also presents the reasons why wavelets are better than Fourier transform.
標簽： understanding important wavelets wavelet
上傳時間： 2017-06-14
上傳用戶：lanhuaying
Abstract—In this paper, we propose transform-domain algorithms to effectively classify the characteristics of blocks and estimate the strength of the blocky effect. The transform-domain algorithms require much lower computational complexity and much less memory than the spatial ones. Along with the estimated blocky strength,
標簽： transform-domain effectively algorithms Abstract
上傳時間： 2017-06-16
上傳用戶：zukfu
