8 Finite Differences: Partial Differential Equations
fab.cba.mit.edu › classes › 86494 Finite Differences: Partial Differential Equations DRAFT analysis locally linearizes the equations (if they are not linear) and then separates the temporal and spatial dependence (Section 4.3) to look at the growth of the linear modes un j = A(k)neijk∆x. (8.9) This assumed form has an oscillatory dependence on space, which can be used to syn-
Finite Difference Methods
web.mit.edu › course › 16Finite Difference Methods In the previous chapter we developed finite difference appro ximations for partial derivatives. In this chapter we will use these finite difference approximations to solve partial differential equations (PDEs) arising from conservation law presented in Chapter 11. 48 Self-Assessment