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Topic: Krylov
Replies: 2   Last Post: Oct 18, 2013 6:06 PM

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Posts: 40
Registered: 12/11/12
Re: Krylov
Posted: Oct 14, 2013 7:25 PM
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W dniu 2013-10-14 23:12, r_delaney2001@yahoo.com pisze:
> I saw an article, "the top 10 algorithms for the 21st century".


> One of these was Krylov subspaces.
> ??
> Can anyone clue me in what this is, and what for? Not
> looking for a math seminar, more like apps. And why
> is the algorithm, whatever it does, so important?

This is family of numerical algorithms.
Mostly solving linear systems (Preconditioned Conjugate Gradient[!],
GMRES) and eigenvalue problems (Arnoldi, Lanczos).

I think most 'modern' methods.


Every time you use a iterative methods for sparse linear system
it probably use one of krylov methods.

Why important? They have better convergence.

"Classical" (Jacobi, SOR) iterative methods converge
like ((1-x)/(1+x))^n,
while krylov converge like ((1-sqrt(x))/(1+sqrt(x)))^n
x = cond(A) - spectral condition number of matrix/operator A.

> If I wanted to research this further, would it be
> a linear algebra book, or numerical analysis, or what?

Rather numerical analysis.

BTW. Wiki is good start;-)

I like this books:


Date Subject Author
Read Krylov
Rich Delaney
Read Re: Krylov
Read Re: Krylov
Rich Delaney

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