Quick Navigation:
Go to Home
MS Research
PhD Research
Curriculum Vitae
Linux
Matlab
On-line Stores
Cycling
Medicine & Health
LaTeX
OOP & C++
Sony PCM-R500 DAT
|

|
Next: Neutronics Implementation
Up: Solution of block-tri-diagonal systems
Previous: Solution of block-tri-diagonal systems
  Contents
  Index
The task of finding the inverse matrix
of the square Nth order matrix
can be stated in the following way
 |
(2.15) |
where the matrix
is the identity matrix of order N and we assume that
has full rank.
The matrix
is most commonly found in a column wise manner since we may
rewrite (2.22) in the way
 |
(2.16) |
where
and
are the ith column of the matrices
and
respectively.
We realize that we have to solve a Nth order system of equations N times
with the same coefficient matrix and different right hand side vectors.
This can be accomplished by simple Gaussian elimination, ie Gaussian
elimination without pivoting. It is important to emphasize that simple Gaussian
elimination does not take into account the limited machine accuracy when
doing the calculations in practice. In unfavourable circumstances the solution
can be totally destroyed by rounding errors. These examples are, however, very
seldom met in practice and we assume simple Gaussian elimination to suffice for
our purposes.
For completeness we include the algorithm [9, p. 2.14] of
simple Gaussian elimination below. In the algorithm A is the coefficient matrix
and B the right hand side vector.
This algorithm overwrites the right hand side vector, B, with the solution
vector. When we wish to solve for different right hand side vectors we only need
to perform the first part down to the comment statement { Manipulate right
hand side} once.
Next: Neutronics Implementation
Up: Solution of block-tri-diagonal systems
Previous: Solution of block-tri-diagonal systems
  Contents
  Index
Revision 2.0, Copyright © 1999-2004 Jakob
Christensen
http://www.JakobCHR.com
E-Mail: webmaster@JakobCHR.com
|
Top Quality Developed with Danish Brain Power
|
|
|
|
|