Algorithmscs
Step-by-step procedures for computation — sorting, searching, graph traversal, and their time/space complexity.
Every compiler pass is an algorithm; understanding complexity (O(n), O(n^2)) explains why corpus-scale compilation needs top-k thresholding.
Where it appears
- SKCE foundation for graph-algorithms
- compiler-theory
- type-theory
Descend
Historical evolution
From Euclid's algorithm to modern complexity theory (Cook/Levin, P vs NP).
Implementation details
SKCE uses O(V+E) topological sort and O(n) spherical layout; clustering similarity is O(n^2) mitigated by top-k.
Sources
- [2026-07-11-knowledge-compiler-compiling-human-knowledge-into-static-semantic-artifacts] 2026-07-11-knowledge-compiler-compiling-human-knowledge-into-static-semantic-artifacts
- [2026-07-11-knowledge-compiler-compiling-human-knowledge-into-static-semantic-artifacts] 2026-07-11-knowledge-compiler-compiling-human-knowledge-into-static-semantic-artifacts