國立虎尾科技大學 |

Non-linear dynamics and statistical theories for basic geophysical flows /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Non-linear dynamics and statistical theories for basic geophysical flows // Andrew J. Majda, Xiaoming Wang.
其他題名:	Nonlinear Dynamics & Statistical Theories for Basic Geophysical Flows
作者:	Majda, Andrew,
其他作者:	Wang, Xiaoming,
面頁冊數:	1 online resource (xii, 551 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Geophysics - Fluid models. -
電子資源:	https://doi.org/10.1017/CBO9780511616778
ISBN:	9780511616778 (ebook)

Non-linear dynamics and statistical theories for basic geophysical flows /
Majda, Andrew,1949-

Non-linear dynamics and statistical theories for basic geophysical flows /Nonlinear Dynamics & Statistical Theories for Basic Geophysical FlowsAndrew J. Majda, Xiaoming Wang. - 1 online resource (xii, 551 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

The general area of geophysical fluid mechanics is truly interdisciplinary. Now ideas from statistical physics are being applied in novel ways to inhomogeneous complex systems such as atmospheres and oceans. In this book, the basic ideas of geophysics, probability theory, information theory, nonlinear dynamics and equilibrium statistical mechanics are introduced and applied to large time-selective decay, the effect of large scale forcing, nonlinear stability, fluid flow on a sphere and Jupiter's Great Red Spot. The book is the first to adopt this approach and it contains many recent ideas and results. Its audience ranges from graduate students and researchers in both applied mathematics and the geophysical sciences. It illustrates the richness of the interplay of mathematical analysis, qualitative models and numerical simulations which combine in the emerging area of computational science.

ISBN: 9780511616778 (ebook)Subjects--Topical Terms:

882334
Geophysics
--Fluid models.

LC Class. No.: QC809.F5 / M35 2006

Dewey Class. No.: 551.01532051

Non-linear dynamics and statistical theories for basic geophysical flows /
LDR:01990nam a2200289 i 4500 001 1123530
003 UkCbUP
005 20151005020621.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2006||||enk o ||1 0|eng|d
020 $a 9780511616778 (ebook)
020 $z 9780521834414 (hardback)
035 $a CR9780511616778
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a QC809.F5 $b M35 2006
082 0 0 $a 551.01532051 $2 22
100 1 $a Majda, Andrew, $d 1949- $e author. $3 1440417
245 1 0 $a Non-linear dynamics and statistical theories for basic geophysical flows / $c Andrew J. Majda, Xiaoming Wang.
246 3 $a Nonlinear Dynamics & Statistical Theories for Basic Geophysical Flows
264 1 $a Cambridge : $b Cambridge University Press, $c 2006.
300 $a 1 online resource (xii, 551 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a The general area of geophysical fluid mechanics is truly interdisciplinary. Now ideas from statistical physics are being applied in novel ways to inhomogeneous complex systems such as atmospheres and oceans. In this book, the basic ideas of geophysics, probability theory, information theory, nonlinear dynamics and equilibrium statistical mechanics are introduced and applied to large time-selective decay, the effect of large scale forcing, nonlinear stability, fluid flow on a sphere and Jupiter's Great Red Spot. The book is the first to adopt this approach and it contains many recent ideas and results. Its audience ranges from graduate students and researchers in both applied mathematics and the geophysical sciences. It illustrates the richness of the interplay of mathematical analysis, qualitative models and numerical simulations which combine in the emerging area of computational science.
650 0 $a Geophysics $x Fluid models. $3 882334
650 0 $a Fluid mechanics. $3 555551
650 0 $a Fluid dynamics. $3 528074
650 0 $a Geophysics $x Mathematical models. $3 882335
650 0 $a Statistical mechanics. $3 676754
700 1 $a Wang, Xiaoming, $e author. $3 1440496
776 0 8 $i Print version: $z 9780521834414
856 4 0 $u https://doi.org/10.1017/CBO9780511616778