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Courses Description & Outline
 
 
Dr. Juan Guevara
Universidad Central de Venezuela

Dr. Jose Castillo
Computational Science Research Center
San Diego State University
castillo@myth.sdsu.edu
Mimetic Finite Difference Method
Course Description
The objective of this course is to present an introduction of mimetic finite difference methods for second order elliptic problems. The mimetic methods are introduced as an improved version of standard finite difference methods. Mathematical and theoretical analysis of the mimetic schemes are fully developed. Their applications to the solution of specific problems are presented and evaluated as a function of accuracy, condition matrix, and performance of iterative methods. It is expected that our presentation of mimetic schemes will provide a pedagogical and rigurous introduction to students, scientists and engineers interested in applied mathematics and scientific computing.

 

Course Outline

Lecture 1:
Finite Difference Approximations and Tools for Boundary Value Problems

Lecture 2:
Mimetic Finite Difference Operators

Lecture 3:
Mimetic Finite Difference Schemes for Elliptic Problems

Lecture 4:
Convergence Analysis of Mimetic Schemes

Lecture 5:
Applications of Mimetic Schemes

 

Expanded Course Outline

1) Taylor expansions, central differences expressions, backwards differences expressions, forward
difference equations, finite difference schemes for boundary value problems, truncation errors,
stability, consistence and convergence.

2) Generalized inner products, discrete Green identity, staggered grid, mimetic gradient operator,
divergence gradient operator, mimetic boundary operators.

3) General mimetic discretization of second order elliptic problems, examples of specific mimetic
discretizations for static diffusion equation and Poisson equations.

4) Associated conservative schemes, approximation theorem for mimetic and conservative
schemes, and convergence of conservative and mimetic schemes.

5) Applications of mimetic schemes for solving the Poisson equation, biharmonic equation, and
pressure equations in porous media flow.

 

References

1) Castillo J.E. and Grone R. “A matrix analysis to higher order approximations for divergences
and gradients satisfying a global conservation law”. SIAM Journal of Matrix Analysis
Applications. (2004).

2) Castillo J.E. and Yasuda M. “”Linear system arising for second order mimetic divergence and
gradient discretizations”, Journal of Mathematical Modelling and Algorithms. (2005).

3) Guevara-Jordan J.M., Rojas S., Freites-Villegas M., Castillo J.E. “Convergence of a mimetic
finite differences method for the static diffusion equation”. Advances in Differences Equations.
(2007).

4) Guevara-Jordan J.M., Rojas S., Freites-Villegas M., Castillo J.E. “A new second order finite
difference conservative scheme”. Divulgaciones Matemáticas. (2005).

5) Guevara-Jordan J.M. and Arteaga-Arispe J. “A second order mimetic approach for tracer flow
in oil reservoirs”. Society of Petroleum Engineers paper SPE 107366. (2007).

 

 

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Last updated: October 2, 2009 2:52 PM