https://webdocs.cs.ualberta.ca/~rgreiner/C-466/SLIDES/painless-conjugate-gradient.pdf
https://julia.quantecon.org/tools_and_techniques/iterative_methods_sparsity.html
Krylov Methods and Matrix Conditioning
This website presents a set of lectures on quantitative economic modeling, designed and written by Jesse Perla, Thomas J. Sargent and John Stachurski. The language instruction is Julia.
julia.quantecon.org
What makes Krylov subspaces so special?
I am reading through "Numerical Linear Algebra", by Lloyd N. Trefethen and David Bau. I reached the final chapter about iterative methods. They all share the fact, that they are using Krylov subspa...
math.stackexchange.com
https://math.stackexchange.com/questions/3328986/importance-of-krylov-subspace
importance of Krylov subspace
Can someone please explain to me why we are using Krylov subspaces for the CG-Method, GMRES-Method and Arnoldi. Unfortunately I do not see where the advantages are und why Krylov subspaces are so
math.stackexchange.com
길교수님 은퇴 강의
아마 선형대수 공부하시는 분 중에 MIT 길버트 스트랭 Gilbert Strang 교수님 강의를 안보신 분은 있...
blog.naver.com
https://www.youtube.com/watch?v=z0ykhV15wLw
https://joonleesky.github.io/posts/Conjugate_Gradient/
[Math] Conjugate Gradients
이 포스팅에서는 \(Ax = b\)의 해를 찾아내는 과정을, 최적화 문제로 환원하여 해결하는 conjugate gradients method를 살펴봅니다. Justin Solomon 교수님의 CS 205a: Mathematical Methods for Robotics, Vision, and Graphics
joonleesky.github.io
https://www.youtube.com/watch?v=UgyLaAXqlQ4&list=PLP1OdTlavJNvV0KDxLjqkmc_RGr5z6WIi&index=1
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