bareiss_step

std.linalg.bareiss_step · Level L4

One column of fraction-free Gaussian elimination (Bareiss) on an integer matrix: if some row at or below r has a nonzero entry in column c, swap the first such row into row r and replace each later row by (p·row − M[i, c]·row r)/prev, which is exact (p the new pivot, prev the one before), then r ← r + 1; otherwise nothing changes. The body rank_exact scans.

row_i ← (p·row_i − M[i, c]·row_r)/prev

Signature

bareiss_step(M: f64[m, n], r: f64[], prev: f64[], c: f64[]) → f64[m, n], f64[], 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.

Mf64[m, n]cf64[]rf64[]prevf64[]CastciGathercolIotai1.0SizemMultiplysq0.0Subtractm1LessaboveGreaternzLessrows_leftMinimumrcSubtractfrom_rGreaterlaterCastrciEqualis_rMultiplycandReshapelcArgMaxprReduceMaxfoundEqualis_pWhereperm1MultiplygoWherepermAddr2CastpiGatherSGatherrowrGatherscolReshaperrReshapescGatherpMultiplyouterMultiplypSWhereprev2SubtractnumFloorDivfullWhereEWhereM2M2f64[m, n]prev2f64[]r2f64[]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Equal to the reference the same elimination on Python integers in exact rational arithmetic, on all 40 test cases.
  • All 536 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

Calls
—
Called by
sha256:8b3c4aa62f342bb9c1443891e86f81d795a226f117286160203874501a029cb8

The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.

Control handle

Symbol
Ω:std.linalg.bareiss_step · Ω:bareiss_step
Pins
sha256:4ec0eff335748de59bdc4085f110bed7305b7bdb316a4bb2fa06a7ff1205f943this graph alone
Evidence
sha256:ae82c0787535f6956fe123ae75427887b33cb7fcaa4adabeb9a53f9fee9d6080the 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.

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