| ²é¿´: 5405 | »Ø¸´: 3 | ||||
³¯Ó£Ìú³æ (³õÈëÎÄ̳)
|
[ÇóÖú]
À¶¡³¬Á¢·½ÊÔÑéÉè¼Æ
|
| ×îÓÅÀ¶¡³¬Á¢·½ÊÔÑéÉè¼ÆÓ¦¸ÃÔõôȡÑù±¾µã |
» ²ÂÄãϲ»¶
É¢½ð±Ò£¬ÇóºÃÔË£¬×£ÃæÉÏ˳Àû£¡
ÒѾÓÐ81È˻ظ´
»ª¶«Ê¦·¶´óѧоƬÉè¼ÆÐìççÕæÊµË®Æ½Õ¦Ñù
ÒѾÓÐ1È˻ظ´
ÎïÀíѧIÂÛÎÄÈóÉ«/·ÒëÔõôÊÕ·Ñ?
ÒѾÓÐ206È˻ظ´
µ÷¼Á
ÒѾÓÐ0È˻ظ´
¡¾ÐÂ¼ÓÆÂ¡¿ÄÉÃ×µç×ÓÆ÷¼þÏîÄ¿×éÓС°ÁªºÏÅàÑø²©Ê¿Éú¡±Ãû¶î
ÒѾÓÐ0È˻ظ´
Öе²©Ê¿ºó2026ÏîÄ¿5ÔÂ30ÈÕ½ØÖ¹- ¹úÄÚ²©Ê¿ºóÈëÕ¾¡¢µÂ¹úÁ½Äêȫְ
ÒѾÓÐ0È˻ظ´
ÃæÏòÈ«ÇòÉêÇëÈ˵ÄÖе²©Ê¿ºó2026ÏîÄ¿5ÔÂ30ÈÕ½ØÖ¹- ¹úÄÚ²©ºóÈëÕ¾µÂ¹úÁ½Äêȫְ
ÒѾÓÐ0È˻ظ´
¡¾ÐÂ¼ÓÆÂ¡¿ÄÉÃ×µç×ÓÆ÷¼þÏîÄ¿×éÓС°ÁªºÏÅàÑø²©Ê¿Éú¡±Ãû¶î
ÒѾÓÐ2È˻ظ´
ÖØÇì½»´ó²ÄÁÏѧԺ26Äê˶ʿÕÐÉú¸´ÊÔʵʩϸÔòÒѳö¡£»¶Ó¼ÓÈë¹â×Óѧ΢½á¹¹ÓëÆ÷¼þ¿ÎÌâ×é¡£
ÒѾÓÐ0È˻ظ´
±±¹¤´óËÎÏþÑÞ½ÌÊÚÍŶÓÕÐÊÕ2026Äê9ÔÂÈëѧ²©Ê¿¡¾Ñ§²©ºÍר²©Ãû¶î¾ùÓС¿£¡
ÒѾÓÐ1È˻ظ´
Ìì½ò³Ç½¨´óѧÀíѧԺ»¯Ñ§¡¢»·¾³¹¤³Ì¡¢²ÄÁÏÎïÀíµÈ·½Ïò½ÓÊÕ10ÈË
ÒѾÓÐ0È˻ظ´
» ±¾Ö÷ÌâÏà¹Ø¼ÛÖµÌùÍÆ¼ö£¬¶ÔÄúͬÑùÓаïÖú:
À¶¡³¬Á¢·½ÊÔÑéÉè¼Æ³ÌÐò
ÒѾÓÐ2È˻ظ´
dbb627
ÈÙÓþ°æÖ÷ (ÖøÃûдÊÖ)
-

ר¼Ò¾Ñé: +4 - ¼ÆËãÇ¿Ìû: 12
- Ó¦Öú: 289 (´óѧÉú)
- ¹ó±ö: 0.589
- ½ð±Ò: 24640.4
- É¢½ð: 551
- ºì»¨: 61
- ɳ·¢: 1
- Ìû×Ó: 1246
- ÔÚÏß: 1794.8Сʱ
- ³æºÅ: 149791
- ×¢²á: 2005-12-29
- ÐÔ±ð: GG
- רҵ: ÎÛȾ¿ØÖÆ»¯Ñ§
- ¹ÜϽ: ¼ÆËãÄ£Äâ
¡¾´ð°¸¡¿Ó¦Öú»ØÌû
¸Ðл²ÎÓ룬ӦÖúÖ¸Êý +1
|
matlab ÖÐÓиö lhsdesign£¬²»ÖªÊÇ·ñÂú×ãÄãµÄÒªÇó LHSDESIGN Generate a latin hypercube sample. X=LHSDESIGN(N,P) generates a latin hypercube sample X containing N values on each of P variables. For each column, the N values are randomly distributed with one from each interval (0,1/N), (1/N,2/N), ..., (1-1/N,1), and they are randomly permuted. X=LHSDESIGN(...,'PARAM1',val1,'PARAM2',val2,...) specifies parameter name/value pairs to control the sample generation. Valid parameters are the following: Parameter Value 'smooth' 'on' (the default) to produce points as above, or 'off' to produces points at the midpoints of the above intervals: .5/N, 1.5/N, ..., 1-.5/N. 'iterations' The maximum number of iterations to perform in an attempt to improve the design (default=5) 'criterion' The criterion to use to measure design improvement, chosen from 'maximin' (the default) to maximize the minimum distance between points, 'correlation' to reduce correlation, or 'none' to do no iteration. Latin hypercube designs are useful when you need a sample that is random but that is guaranteed to be relatively uniformly distributed over each dimension. |

2Â¥2013-08-28 09:14:22
lyh127
гæ (³õÈëÎÄ̳)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 28.2
- É¢½ð: 10
- Ìû×Ó: 40
- ÔÚÏß: 13.8Сʱ
- ³æºÅ: 2914328
- ×¢²á: 2014-01-05
- רҵ: ÖÆÔìϵͳÓë×Ô¶¯»¯
3Â¥2014-06-12 15:48:07
erickregal
гæ (³õÈëÎÄ̳)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 95
- Ìû×Ó: 10
- ÔÚÏß: 5.8Сʱ
- ³æºÅ: 2649411
- ×¢²á: 2013-09-12
- רҵ: »úе¶¯Á¦Ñ§
4Â¥2014-09-24 11:05:25













»Ø¸´´ËÂ¥