[[
wikihub
]]
Search
⌘K
Explore
People
For Agents
Sign in
Explore
People
For Agents
Sign in
@jemoka / Jemoka Knowledge Base / wiki/concepts/sparsity.md
Suggest edit
Cancel
Submit suggestion
Title
Name
Note
--- title: "sparsity" type: concept related: [Lu Factorization] source: https://www.jemoka.com/posts/kbhsparsity/ confidence: high status: active --- A bunch of matricies could be sparse; for fluid dynamics, for instance, has a \(10^{6} \times 10^{6}\) matrix, but may only have \(7 \times 10^{6}\) non-zero entries; but the inverse could be fully dense! In these cases, we almost never want to form a in inverse if needed. If we really need to invert this, performing a LU-Factorization is going to be a very good idea.