logistic_step
std.seq.logistic_step · Level L0One step of the discrete logistic model: x ← x + r·x·(1 − x/K). The body logistic_growth scans.
Signature
logistic_step(x: f64[m], t: f64[], rate: f64[m], K: 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.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Equal to the reference
x + rate*x*(1 - x/K)in exact rational arithmetic, on all 40 test cases. - All 142 float64 results inside the running error bound; the closest uses 56% 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 88% of it.
- correctly rounded (the float64 nearest the exact value)
- 75%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 14
Large ulp counts appear where a result is tiny next to the numbers it is computed from (after cancellation, for example), so one unit in the last place is tiny too; the absolute error is still inside the bound. Results within their own error of zero are not counted.
Identity
sha256:eefa50fcc3c83f9e2e599cc67a41509a78f744237e1d7e0224fa6c8b2bad1077The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.
Control handle
- Symbol
- Ω:std.seq.logistic_step · Ω:logistic_step
- Pins
sha256:ccc9f5ec6b2dbb811d70fc3e6fefd161c88eacbc1dbed09cf2119fa6775afbbethis graph alone- Evidence
sha256:562054eaed27e771856a2c009c4b2132fb60772b15d376f82b3a61f6eeba246fthe 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.