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They own advantages such as 1) they are agreeable to linear and no linear problems.(2) unlike the gradient-based approaches, only the objective function is needed. (3)they are not sensitive to the initial values.ÕâÑù·ÒëµØµÀÂ𣬿ÉÒÔ¸ø³ö¸üºÃµÄ·ÒëÂ𣿠ÓÃÒ»¸ö³¤¾äÔõô·ÒëºÃ¡£ лл [ Last edited by opticspcs on 2009-9-20 at 11:50 ] |
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opticspcs
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2Â¥2009-09-20 11:49:06
jw227
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linghanyuan(½ð±Ò+1,VIP+0):¹ÄÀø½»Á÷ 9-23 18:16
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
linghanyuan(½ð±Ò+1,VIP+0):¹ÄÀø½»Á÷ 9-23 18:16
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
| They have three advantages as follows. Firstly, they are agreeable to linear and no linear problems. Sencondly, unlike the gradient-based approaches, only the objective function is needed. Thirdly, they are not sensitive to the initial values. |

3Â¥2009-09-20 13:01:23
goodtimega
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linghanyuan(½ð±Ò+1,VIP+0):лл½»Á÷ 9-23 18:16
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:36
linghanyuan(½ð±Ò+1,VIP+0):лл½»Á÷ 9-23 18:16
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:36
| The advantage includes (1) they are in agreement with linear and nonlinear problems; (2) unlike the gradient-based approach, only the objective function is needed; and (3) they are insensitive to initial values. |
4Â¥2009-09-21 04:35:48
wangjianna
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opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:36
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:35
opticspcs(½ð±Ò+1,VIP+0): 9-24 18:36
| they share the three priorities: agreeable to the linear and nonlinear problems; insensitive to the initial values and finally they need only the master equation. |

5Â¥2009-09-24 10:20:44
fukuoka000
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linghanyuan(½ð±Ò+1,VIP+0):¹ÄÀøÐ³æ 9-26 14:19
linghanyuan(½ð±Ò+1,VIP+0):¹ÄÀøÐ³æ 9-26 14:19
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There are several key advantages for using XXX. linear and no linear problems can be easily agreeable, the objective function is available exclusively unlike the gradient-based approaches, they are not sensitive to nitial values [ Last edited by fukuoka000 on 2009-9-24 at 10:29 ] |

6Â¥2009-09-24 10:25:13
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7Â¥2009-09-27 11:08:13














1) they are agreeable to linear and no linear problems.(2) unlike the gradient-based approaches, only the objective function is needed. (3)they are not sensitive to the initial values.
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