BookRags.com Literature Guides Literature
Guides
Criticism & Essays Criticism &
Essays
Questions & Answers Questions &
Answers
Lesson Plans Lesson
Plans
My Bibliography Periodic Table U.S. Presidents Shakespeare Sonnet Shake-Up
Research Anything:        
History | Encyclopedias | Films | News | Create a Bibliography | More... Login | Register | Help
Not What You Meant?  There are 23 definitions for Adi.

Alternating direction implicit

Print-Friendly
About 1 pages (294 words)

Bookmark and Share Questions on this topic? Just ask!

In mathematics, the alternating direction implicit (ADI) method is a finite difference method for solving differential equations. It is most notably used to solve the problem of heat conduction or solving the diffusion equation in two or more dimensions. The traditional method for solving the heat conduction equation is the method of Crank-Nicolson. This method is implicit, but has an unaffordable stability criterion in two or more dimensions.

The method

Consider the linear diffusion equation in two dimensions,

<math>{\partial u\over \partial t} =
\left({\partial^2 u\over \partial x^2 } +

{\partial^2 u\over \partial y^2 } \right)

=  ( u_{xx} + u_{yy} ) \quad </math>

The implicit Crank-Nicolson method produces the following finite difference equation:

<math>{u_{ij}^{n+1}-u_{ij}^n\over \Delta t} =

{1 \over 2}\left(\delta_x^2+\delta_y^2\right) \left(u_{ij}^{n+1}+u_{ij}^n\right)</math> where <math>\delta_p^2</math> is the central difference operator for the p-coordinate After performing a stability analysis, it can be shown that this method will be stable as long as

<math>{\Delta t \over (\Delta x)^2}+{\Delta t\over (\Delta y)^2} < {1 \over 2}.</math>

This an unaffordable numerical stability criterion. The idea behind the ADI method is to split the finite difference equations into two, one with the x-derivative taken implicitly and the next with the y-derivative taken implicitly,

<math>{u_{ij}^{n+1/2}-u_{ij}^n\over \Delta t/2} =

\left(\delta_x^2 u_{ij}^{n+1/2}+\delta_y^2 u_{ij}^{n}\right)</math>

<math>{u_{ij}^{n+1}-u_{ij}^{n+1/2}\over \Delta t/2} =

\left(\delta_x^2 u_{ij}^{n+1/2}+\delta_y^2 u_{ij}^{n+1}\right)</math> It can be shown that this method is unconditionally stable. There are more refined ADI methods such as the methods of Douglas[1], or the f-factor method[2] which can be used for three or more dimensions.

References

  1. ^ Douglas, J. "Alternating direction methods for three space variables," Numerische Mathematik, Vol 4., pp 41-63 (1962)
  2. ^ Chang, M.J. et al. "Improved alternating-direction implicit method for solving transient three-dimensional heat diffusion problems", Numerical Heat Transfer, Vol 19, pp 69-84, (1991)

View More Summaries on Alternating direction implicit
 
Ask any question on Alternating direction implicit and get it answered FAST!
Answer questions in BookRags Q&A and earn points toward
discounted or even FREE Study Guides and other BookRags products!
Learn more about BookRags Q&A
Copyrights
Alternating direction implicit from Wíkipedia. ©2006 by Wíkipedia. Licensed under the GNU Free Documentation License. View a list of authors or edit this article.

Article Navigation
Join BookRagslearn moreJoin BookRags




About BookRags | Customer Service | Report an Error | Terms of Use | Privacy Policy