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11hours: »ØÌûÖö¥ 2011-12-07 11:30:47
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ÎÄÏ× ¡¶Numerical Analysis of Hydrogen Transport Near a Blunting Crack Tip¡· ×÷Õß P.Sofronis µÈ Óï¾³ ÌÖÂÛHÀ©É¢Í¨Á¿Êƺ¯ÊýÖÐÓ¦Á¦Êƺ¯Êý²¿·Ö¡£Ó¦Á¦²¿·ÖµÄÊÆº¯ÊýµÈÓÚÆ½¾ùÓ¦Á¦³ËÒÔHƫĦ¶ûÌå»ý¡£ÏÂÃæ¸úµÄÕâÒ»¾ä¡°the assumption of dilational distortion is known to be correct to a first order approximation (Hirth, 1977 )¡± |
3Â¥2011-12-07 11:21:13
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2Â¥2011-12-07 11:04:44
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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
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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4Â¥2011-12-07 11:26:07
11hours
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5Â¥2011-12-07 11:30:20
11hours
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wbcui: ÎÒ°ïÄã¸øÁË 2011-12-07 19:17:33
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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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