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DateConvert
DateConvert：简单而快速的日期转换
DateConvert转换DATESTR（0）格式的日期向量或序列号和日期向后。
Matlab的DATENUM，DATEVEC和DATESTR接受各种不同意见，但结果他们是缓慢的。如果输入格式正是众所周知，转换可以更快：
DATENUM（ 17 - 10 - 2009 11时08分23秒 ）：2.97秒
DateConvert（ 17 - 10 - 2009 11时08分23秒 ， 号码 ）：0.039秒
=>“1.3％（1000环，1.5GHz的奔腾- M的，利用Matlab 7.7）
DateConvert不*不*验证作为Matlab的日期函数输入日期：
DATEVEC（ 32 - 2 - 2008 25:62:63 ）的答复[2008 3 4 2 2 7]
DateConvert（ 32 - 2 - 2008 25:61:67 ， 载体 ）的答复[2008 2 32 25 61 67]！
因此DateConvert几乎微不足道，但对速度进行了优化。我需要时间排序200 000邮票，并从217个减少到11秒的时间。
请运行单元测试TestDateVec检查的有效性和速度。
测试：利用Matlab 6.5，7.7，7.8，winxp的，32位。
纯Matlab代码，所以兼容性的MacOS，Linux操作系统，64位预期。
英语月份名称是必要的。(DateConvert: Simple but fast date conversion
DateConvert converts the DATESTR(0) format to a date vector or serial date number and backwards.
Matlab s DATENUM, DATEVEC and DATESTR accept a variety of inputs, but in consequence they are slow. If the input format is exactly known, the conversion can be much faster:
DATENUM( 17-Oct-2009 11:08:23 ): 2.97 sec
DateConvert( 17-Oct-2009 11:08:23 , number ): 0.039 sec
=> 1.3 (1000 loops, 1.5GHz Pentium-M, Matlab 7.7)
DateConvert does*not* validate the input date as Matlab s date functions:
DATEVEC( 32-Feb-2008 25:62:63 ) replies [2008 3 4 2 2 7],
DateConvert( 32-Feb-2008 25:61:67 , vector ) replies [2008 2 32 25 61 67] !
So DateConvert is nearly trivial, but optimized for speed. I needed it for sorting 200 000 time stamps and reduced the time from 217 to 11 sec.
Please run the unit-test TestDateVec to check validity and speed.
Tested: Matlab 6.5, 7.7, 7.8, WinXP, 32bit.
Pure Matlab code, so compat)
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