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11hours: »ØÌûÖö¥ 2011-12-07 11:30:47
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2Â¥: Originally posted by shecf at 2011-12-07 11:04:44:
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ÎÄÏ× ¡¶Numerical Analysis of Hydrogen Transport Near a Blunting Crack Tip¡·
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11hours(½ð±Ò+2): ¾ÍÊÇÒ»½×½üËÆ 2011-12-07 12:30:39
wbcui(½ð±Ò+3): ¶àл²ÎÓë 2011-12-07 19:17:10
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3Â¥: Originally posted by 11hours at 2011-12-07 11:21:13:
ÎÄÏ× ¡¶Numerical Analysis of Hydrogen Transport Near a Blunting Crack Tip¡·
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4Â¥: Originally posted by aduyuandu at 2011-12-07 11:26:07:
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5Â¥2011-12-07 11:30:20
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wbcui: ÎÒ°ïÄã¸øÁË 2011-12-07 19:17:33
ά»ù order of approximation
In science, engineering, and other quantitative disciplines, orders of approximation refer to formal or informal terms for how precise an approximation is, and to indicate progressively more refined approximations: in increasing order of precision, a zeroth order approximation, a first order approximation, a second order approximation, and so forth.

Formally, an nth order approximation is one where the order of magnitude of the error is at most xn, or in terms of big O notation, the error is O(xn). In suitable circumstances, approximating a function by a Taylor polynomial of degree n yields an nth order approximation, by Taylor's theorem: a first order approximation is a linear approximation, and so forth.
6Â¥2011-12-07 12:32:26
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