| ²é¿´: 922 | »Ø¸´: 4 | ||
| ¡¾ÐüÉͽð±Ò¡¿»Ø´ð±¾ÌûÎÊÌ⣬×÷Õ߹¶ÀÖÛ½«ÔùËÍÄú 20 ¸ö½ð±Ò | ||
| µ±Ç°Ö»ÏÔʾÂú×ãÖ¸¶¨Ìõ¼þµÄ»ØÌû£¬µã»÷ÕâÀï²é¿´±¾»°ÌâµÄËùÓлØÌû | ||
¹Â¶ÀÖÛÌú³æ (СÓÐÃûÆø)
|
[ÇóÖú]
ÇóÖú£¬Éó¸åÒâ¼ûÖÐ polynomial fits/spline fits Õâ¸öɶÒâ˼£¬¸ÃÔõô×öÄØ
|
|
| ÇóÖú£¬ÂÛÎÄ´óÐÞ£¬µ«µÚÒ»¸öÒâ¼û¾Í°ÑÎÒÄѵ¹ÁË£¬ÒÔÏÂÕâ¶ÎÒâ¼û¸ÃÔõôÐÞ¸ÄÄØ¡£ÏëÁ˺þÃû¸ã¶®É¶Òâ˼¡£It will be better if polynomial fits/spline fits were applied to figures (x-y charts on the right hand). Mere joining the points indicates the variatioanl trends but local influence of a noisy experimental point is also seen particularly in Fig.2. лл¸÷λÀ² |
» ²ÂÄãϲ»¶
0817ÕÒµ÷¼Á
ÒѾÓÐ3È˻ظ´
µ÷¼ÁµÄͬѧ£¬×ß¹ý·¹ý£¬²»Òª´í¹ý
ÒѾÓÐ14È˻ظ´
288Çóµ÷¼Á085600²ÄÁÏÓ뻯¹¤
ÒѾÓÐ14È˻ظ´
¡¾Çóµ÷¼Á¡¿293·Ö»·¾³¹¤³ÌÇóµ÷¼Á²ÄÁÏ/»¯¹¤£¬·þ´Óµ÷¼Á£¬¿¹Ñ¹ÄÜÁ¦Ç¿£¡
ÒѾÓÐ11È˻ظ´
0701-322 Çóµ÷¼Á
ÒѾÓÐ5È˻ظ´
²ÄÁÏÓ뻯¹¤Çóµ÷¼Á
ÒѾÓÐ3È˻ظ´
298Çóµ÷¼Á
ÒѾÓÐ7È˻ظ´
288Çóµ÷¼Á
ÒѾÓÐ4È˻ظ´
0856²ÄÁÏÓ뻯¹¤290Çóµ÷¼Á
ÒѾÓÐ4È˻ظ´
286Çóµ÷¼Á
ÒѾÓÐ13È˻ظ´
¹Â¶ÀÖÛ
Ìú³æ (СÓÐÃûÆø)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 456.1
- Ìû×Ó: 90
- ÔÚÏß: 100.1Сʱ
- ³æºÅ: 1991922
- ×¢²á: 2012-09-11
- רҵ: »·¾³¹¤³Ì
4Â¥2019-09-22 21:33:38
bbs_guo
ÖÁ×ðľ³æ (Ö°Òµ×÷¼Ò)
- Ó¦Öú: 7 (Ó×¶ùÔ°)
- ½ð±Ò: 12422.5
- É¢½ð: 2506
- ºì»¨: 7
- Ìû×Ó: 4221
- ÔÚÏß: 1623Сʱ
- ³æºÅ: 3551391
- ×¢²á: 2014-11-21
- רҵ: µçÆø¿ÆÑ§Ó빤³Ì
2Â¥2019-09-21 07:06:49
ÔÊÇÑ©¶Ï³¤
½ð³æ (ÕýʽдÊÖ)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 618.3
- É¢½ð: 30
- ɳ·¢: 2
- Ìû×Ó: 380
- ÔÚÏß: 22.3Сʱ
- ³æºÅ: 15816702
- ×¢²á: 2019-08-02
- רҵ: ¼ÆËã»úÓ¦Óü¼Êõ
3Â¥2019-09-21 07:24:34
¹Â¶ÀÖÛ
Ìú³æ (СÓÐÃûÆø)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 456.1
- Ìû×Ó: 90
- ÔÚÏß: 100.1Сʱ
- ³æºÅ: 1991922
- ×¢²á: 2012-09-11
- רҵ: »·¾³¹¤³Ì
5Â¥2019-09-22 21:34:46













»Ø¸´´ËÂ¥