Evaluating a function using techniques for solving linear systems
1 view (last 30 days)
Show older comments
I really just need help on where to start with this problem. I know about LU decomposition and Cholesky decomposition as means of efficiently solving a linear system, but I'm unsure how to approach this problem.
0 Comments
Answers (1)
Carl
on 11 Oct 2017
An important part of solving a linear system efficiently is to avoid explicitly calculating the inverse, if possible. In MATLAB, this is often done using the mldivide (\) operator. See the page here for a high-level description of the various methods/optimizations it uses.
So in a function, something like:
inv(T)*inv(A)*x
can be replaced with:
T\(A\x)
On a related note, the transpose of a matrix or array x is written as x' in MATLAB.
0 Comments
See Also
Categories
Find more on Linear Algebra in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!