vandermonde_step

std.linalg.vandermonde_step · Level L0

One more power of x: v ← v·x, elementwise. The body that vandermonde scans; it does not read its sequence element, only counts the steps.

v′ = v·x

Signature

vandermonde_step(v: f64[m], k: f64[], x: f64[m]) → f64[m]

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.

vf64[m]xf64[m]kf64[]Multiplyv2v2f64[m]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Equal to the reference v * x in exact rational arithmetic, on all 40 test cases.
  • All 162 float64 results inside the running error bound; the closest uses 87% of it.
  • Interpreter and NumPy backend return bit-identical results.
  • At float32 too: the 40 test cases rounded to float32, and 40 of them inside the running error bound at u = 2⁻²⁴; the closest uses 85% of it.
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
0.50

Identity

Calls
—
Called by
sha256:7484d04613c1d33413c1dff4c6fa332a89fddb4b815218a626f8c1cbbb173ea2

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.vandermonde_step · Ω:vandermonde_step
Pins
sha256:cb6ee73a99013b5004569dde454ce2e351f36889035eb9f36b45a6f3211db4e0this graph alone
Evidence
sha256:b8451a9c847ae615db2ba735f493e53f65997903cd22f1ad87aa739e5b32740bthe 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.

ΣEML 2026

Efficient New Language — a high-density semantic overlay for humans and AI agents.

This site’s demos run on the real EML toolchain, in your browser.

© 2026 EveMissLab (一言諾科技有限公司) / Neo.K. All rights reserved.