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Backward Stochastic Differential Equations From Linear to Fully Nonlinear Theory
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Probability Theory and Stochastic Modelling
Backward Stochastic Differential Equations
From Linear to Fully Nonlinear Theory
Jianfeng Zhang
Mathematics / Probability & Statistics / General
Provides a systematic study from linear equations to fully nonlinear equations
Includes up-to-date developments in the field
A powerful and convenient tool for financial engineering and stochastic optimization
Accessible to graduate students and junior researchers
Jianfeng Zhang is a professor of Mathematics at the University of Southern California, Los Angeles. His research interests include stochastic analysis, backward stochastic differential equations, stochastic numerics, and mathematical finance.
| Publication Date: | 22 August 2017 |
| Publisher: | Springer New York |
| Imprint: | Springer |
| ISBN-13: | 9781493972548 |
| Format: | Hardback |
| Page Count: | 388 |