Stochastic analysis is a field of mathematical research having
numerous interactions with other domains of mathematics such as
partial differential equations, riemannian path spaces, dynamical
systems, optimization. It also has many links with applications in
engineering, finance, quantum physics, and other fields. This book
covers recent and diverse aspects of stochastic and
infinite-dimensional analysis. The included papers are written from
a variety of standpoints (white noise analysis, Malliavin calculus,
quantum stochastic calculus) by the contributors, and provide a
broad coverage of the subject.
This volume will be useful to graduate students and research
mathematicians wishing to get acquainted with recent developments
in the field of stochastic analysis.
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