In May 2006, The University of Utah hosted an NSF-funded
minicourse on stochastic partial differential equations. The goal
of this minicourse was to introduce graduate students and recent
Ph.D.s to various modern topics in stochastic PDEs, and to bring
together several experts whose research is centered on the
interface between Gaussian analysis, stochastic analysis, and
stochastic partial differential equations. This monograph contains
an up-to-date compilation of many of those lectures. Particular
emphasis is paid to showcasing central ideas and displaying some of
the many deep connections between the mentioned disciplines, all
the time keeping a realistic pace for the student of the
subject.
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