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Springer Frontiers in Stochastic Analysis - BSDEs, SPDEs Applications

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Description

This Springer proceedings volume collects selected, revised and extended contributions from the Frontiers in Stochastic Analysis conference held in Edinburgh in July 2017. The book covers cutting-edge research in backward stochastic differential equations (BSDEs), stochastic partial differential equations (SPDEs), and their practical applications across mathematics, finance and related fields. Part of the prestigious Springer Proceedings in Mathematics & Statistics series (volume 289), this collection brings together work from leading researchers exploring recent advances in stochastic analysis theory and methodology. The proceedings offer comprehensive coverage of contemporary developments in this important area of mathematical research, making it an essential resource for academics, researchers and graduate students working in stochastic analysis, mathematical finance, and applied mathematics.

Key Features

Springer Proceedings in Mathematics & Statistics volume 289 featuring peer-reviewed contributions from the Edinburgh 2017 conference.

Selected and revised research papers covering both theoretical and applied aspects of BSDEs and SPDEs.

Extended contributions from leading researchers presenting cutting-edge developments in stochastic analysis.

Comprehensive coverage of applications bridging pure mathematical research with practical implementations.

Essential reference for graduate students and academics specialising in stochastic differential equations and mathematical finance.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 September 2020
Listed Since
13 July 2020

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