frobenius_sq
std.linalg.frobenius_sq · Level L0Squared Frobenius norm: the sum of every squared entry.
‖A‖²_F = Σᵢⱼ Aᵢⱼ²
Signature
frobenius_sq(A: f64[m, n]) → f64[]
Structure
The function as NOVA stores it: one box per input, operation and output, and arrows that carry values. A double border marks another library function this one runs — called once, or by Scan once per element; select it to open that function.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Equal to the reference
np.sum(A * A)in exact rational arithmetic, on all 40 test cases. - All 40 float64 results inside the running error bound; the closest uses 53% of it.
- Interpreter and NumPy backend return bit-identical results.
Accuracy in detail
- correctly rounded (the float64 nearest the exact value)
- 80%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 0.73
Identity
sha256:8a8a21c21ffc312c69149ef65498f4e76e28700e2a20e005212b13fe5cefa0efThe semantic hash of the graph. It changes when the program changes, and never when only its documentation does.
Control handle
- Symbol
- Ω:std.linalg.frobenius_sq · Ω:frobenius_sq
- Pins
sha256:2c70815945adb7b86226c5a673af5ebe9dca1c1f13c7cf083769a9c3099293e5this graph alone- Evidence
sha256:9d0815810f36828673d1a02a55bdda9181be7c5eac29f13b56a1e284d8cb8605the hash of its verification record- Needs
- no capability: a pure function
Through NOVA’s control layer, the symbol launches this function only while the program still matches what it pins: a change to this graph, or to any graph it reaches, needs a migration first.