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Backward Stochastic Differential Equations

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

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