000 02234nam a22003498i 4500
001 CR9780511814921
003 UkCbUP
005 20200124160220.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 101021s2003||||enk o ||1 0|eng|d
020 _a9780511814921 (ebook)
020 _z9780521826570 (hardback)
020 _z9780521533942 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQC174.85.S34
_bB36 2003
082 0 0 _a530.15/95
_222
100 1 _aBarenblatt, G. I.,
_eauthor.
245 1 0 _aScaling /
_cGrigory Isaakovich Barenblatt.
264 1 _aCambridge :
_bCambridge University Press,
_c2003.
300 _a1 online resource (xiv, 171 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge texts in applied mathematics ;
_v34
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aMany phenomena in nature, engineering or society when seen at an intermediate distance, in space or time, exhibit the remarkable property of self-similarity: they reproduce themselves as scales change, subject to so-called scaling laws. It's crucial to know the details of these laws, so that mathematical models can be properly formulated and analysed, and the phenomena in question can be more deeply understood. In this 2003 book, the author describes and teaches the art of discovering scaling laws, starting from dimensional analysis and physical similarity, which are here given a modern treatment. He demonstrates the concepts of intermediate asymptotics and the renormalisation group as natural attributes of self-similarity and shows how and when these notions and tools can be used to tackle the task at hand, and when they cannot. Based on courses taught to undergraduate and graduate students, the book can also be used for self-study by biologists, chemists, astronomers, engineers and geoscientists.
650 0 _aScaling laws (Statistical physics)
776 0 8 _iPrint version:
_z9780521826570
830 0 _aCambridge texts in applied mathematics ;
_v34.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511814921
999 _c516691
_d516689