The Finite Difference Method for PDEs: Mathematical Background
This chapter introduces one‐factor partial differential equations (PDEs). Then, it also introduces enough mathematics to model PDEs, approximates them by finite difference method (FDM) algorithms and then maps these algorithms to C++. In particular, the chapter focuses on option pricing using the Bl...
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| Published in | Financial Instrument Pricing Using C++ pp. 641 - 668 |
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| Main Author | |
| Format | Book Chapter |
| Language | English |
| Published |
United Kingdom
John Wiley & Sons, Incorporated
2018
Wiley |
| Subjects | |
| Online Access | Get full text |
| ISBN | 0470971193 9780470971192 |
| DOI | 10.1002/9781119170518.ch20 |
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| Summary: | This chapter introduces one‐factor partial differential equations (PDEs). Then, it also introduces enough mathematics to model PDEs, approximates them by finite difference method (FDM) algorithms and then maps these algorithms to C++. In particular, the chapter focuses on option pricing using the Black‐Scholes PDE and describes this PDE's generalisations. It then gives an overview of convection‐diffusion‐reaction equations in n space dimensions and details their qualitative properties including transforming them to more manageable forms. Furthermore, the chapter defines how PDEs discussed are incorporated into an initial boundary value problem (IBVP) and lists the qualitative properties of the IBVP. It also examines time‐independent second‐order two‐point boundary value problems (TPBVPs) with Dirichlet boundary conditions that defined on a bounded interval. Finally, the chapter summarizes some attention points that the developers should be acquainted with when working with FDM. |
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| ISBN: | 0470971193 9780470971192 |
| DOI: | 10.1002/9781119170518.ch20 |