01661aam a2200229 4500008004500000020001800045082001600063100003200079245005800111260004500169300001700214440005400231504024100285520050600526650005401032650002401086650004201110650004601152942001201198999001901210952020201229170510b2014 xxu||||| |||| 00| 0 eng d a9781470437251 a519.2bK4A6 aKhoshnevisan, Davar9343611 aAnalysis of stochastic partial differential equations bAmerican Mathematical Societyc2014aUSA aviii, 117 p. aRegional conference series in mathematics9343612 aTable of Contents:
1.Prelude
2.Wiener integrals
3.A linear heat equation
4.Walsh-Dalang integrals
5.A non-linear heat equation
6.Intermezzo: A parabolic Anderson model
7.Intermittency
8.Intermittency fronts
9.Correlation length
a The general area of stochastic PDEs is interesting to mathematicians because it contains an enormous number of challenging open problems. There is also a great deal of interest in this topic because it has deep applications in disciplines that range from applied mathematics, statistical mechanics, and theoretical physics, to theoretical neuroscience, theory of complex chemical reactions [including polymer science], fluid dynamics, and mathematical finance.
http://bookstore.ams.org/cbms-119
aStochastic partial differential equations9343613 aMathematics9343614 aGlobal analysis - Mathematics9343615 aDistribution - Probability theory9343616 2ddccBK c206328d206328 00102ddc406519_200000000000000_K4A6708NFIC9347431aVSLbVSLcSlot 1399 (0 Floor, East Wing)d2017-05-03e12g708.00kSlot 1399 (0 Floor, East Wing)o519.2 K4A6p194396r2017-05-03v885.00yBK