frobenius
std.linalg.frobenius · Level L1Frobenius norm of a matrix. Calls frobenius_sq.
‖A‖_F = √(Σᵢⱼ Aᵢⱼ²)
Signature
frobenius(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 a call to another library function; select it to open that function.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Agrees with the reference
np.linalg.norm(A, 'fro')to 80 digits (100-digit arithmetic), on all 40 test cases. - All 40 float64 results inside the running error bound; the closest uses 36% of it.
- Interpreter and NumPy backend return bit-identical results.
Accuracy in detail
- correctly rounded (the float64 nearest the exact value)
- 93%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 0.76
Identity
sha256:ea8108bf98962f3e10ed22e144fc11a2e07e72647e0c81c111ebc419618a9335The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.