quadratic_laplacian

std.seq.quadratic_laplacian · Level L2

The Laplacian of the quadratic u(x, y) = c₀ + c₁x + c₂y + c₃x² + c₄xy + c₅y², a constant: 2c₃ + 2c₅. Poisson's equation Δu = f holds inside a domain for a quadratic candidate exactly when f is that constant.

Δu = 2c₃ + 2c₅

Signature

quadratic_laplacian(c: f64[6]) → 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.

cf64[6]SlicecxxSlicecyyAdds2.0Multiplys2ReduceSumlaplapf64[]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Equal to the reference 2*c[3] + 2*c[5] in exact rational arithmetic, on all 40 test cases.
  • All 40 float64 results inside the running error bound; the closest uses 43% 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 37% 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:f07075738d179fe3857e69c0dd28ec82ab5a65a0309762b4344b2506e8c329bc

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

Control handle

Symbol
Ω:std.seq.quadratic_laplacian · Ω:quadratic_laplacian
Pins
sha256:c6bb127615c9bd594de3d571808fdd877fb543aea6e2a9adfd2d482e39e890b3this graph alone
Evidence
sha256:b23ae534660793d4cf0b6afde8f81e9cc7827ad46db478e65f4bc9d754612458the 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.