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Frontiers in Stochastic Analysis-BSDEs, SPDEs and their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions
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Frontiers in Stochastic Analysis-BSDEs, SPDEs and their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions

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This collection of selected, revised and extended contributions resulted from a Workshop on BSDEs, SPDEs and their Applications that took place in Edinburgh, Scotland, July 2017 and included the 8th World Symposium on BSDEs.

The volume addresses recent advances involving backward stochastic differential equations (BSDEs) and stochastic partial differential equations (SPDEs). These equations are of fundamental importance in modelling of biological, physical and economic systems, and underpin many problems in control of random systems, mathematical finance, stochastic filtering and data assimilation. The papers in this volume seek to understand these equations, and to use them to build our understanding in other areas of mathematics.

This volume will be of interest to those working at the forefront of modern probability theory, both established researchers and graduate students.

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MORE INFO
Format
Paperback
Publisher
Springer Nature Switzerland AG
Country
Switzerland
Date
2 September 2020
Pages
300
ISBN
9783030222871

This collection of selected, revised and extended contributions resulted from a Workshop on BSDEs, SPDEs and their Applications that took place in Edinburgh, Scotland, July 2017 and included the 8th World Symposium on BSDEs.

The volume addresses recent advances involving backward stochastic differential equations (BSDEs) and stochastic partial differential equations (SPDEs). These equations are of fundamental importance in modelling of biological, physical and economic systems, and underpin many problems in control of random systems, mathematical finance, stochastic filtering and data assimilation. The papers in this volume seek to understand these equations, and to use them to build our understanding in other areas of mathematics.

This volume will be of interest to those working at the forefront of modern probability theory, both established researchers and graduate students.

Read More
Format
Paperback
Publisher
Springer Nature Switzerland AG
Country
Switzerland
Date
2 September 2020
Pages
300
ISBN
9783030222871