Vector Normalization Function
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Vector Normalization Function has 7 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
Mostly:improvement result(3), returns on zero norm(1), uses numpy zeros like(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (7)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Improvement Result | Robustness | [1] |
| Improvement Result | Edge Case Handling | [1] |
| Improvement Result | Reliability | [1] |
| Returns on Zero Norm | Zero Vector | [1] |
| Uses Numpy Zeros Like | true | [1] |
| Normalizes by Dividing | Vector Norm | [1] |
| Has Condition for Normalization | Non Zero Norm | [1] |
Timeline
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References (1)
ctx:claims/beam/f14549b1-7951-4cc9-8b95-c8c214c5b491- full textbeam-chunktext/plain1 KB
doc:beam/f14549b1-7951-4cc9-8b95-c8c214c5b491Show excerpt
- If the norm of the vector is zero, the function returns a zero vector of the same shape as the input vector using `np.zeros_like`. 3. **Normalization**: - If the norm is not zero, the function normalizes the vector by dividing it b…
See also
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