residual_bfs
std.linalg.residual_bfs · Level L2Breadth-first search from vertex 0 along the edges with positive residual capacity R: which vertices are reached, and each one's parent on a shortest path. A Scan of bfs_step, n layers.
BFS from 0 on {(u, v) : R(u, v) > 0}
Signature
residual_bfs(R: f64[n, n]) → f64[n], f64[n]
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
layer by layer from vertex 0, the smallest parent firstin exact rational arithmetic, on all 40 test cases. - All 340 float64 results are exact: the error is zero.
- Interpreter and NumPy backend return bit-identical results.
- At float32 too: the 40 test cases rounded to float32, and 40 of them exact, with zero error.
Accuracy in detail
- correctly rounded (the float64 nearest the exact value)
- 100%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 0
Identity
sha256:697ba7324eacda970b3c0091d4052005bbcbd35d197ae78f396f4a19281992ccThe semantic hash of the graph. It changes when the program changes, and never when only its documentation does.
Control handle
- Symbol
- Ω:std.linalg.residual_bfs · Ω:residual_bfs
- Pins
sha256:5bea10ae5f249d7c4a8899304ccf2d99947a2191b6f8844a1a9475e207be969dthis graph and the 1 it reaches through calls- Evidence
sha256:b2eccc682e2e931a6ccfab90c901527e60b06e7cae25ac83b7484afd7fcad48athe 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.