`vec1d_reduce_pm1no_to_0n, vec4d_reduce_pm1no_to_0n, vec8d_reduce_pm1no_to_0n`

Synopsis#include <flint/machine_vectors.h>

vec1d vec1d_reduce_pm1no_to_0n(vec1d a, vec1d n)source

vec4d vec4d_reduce_pm1no_to_0n(vec4d a, vec4d n)

vec8d vec8d_reduce_pm1no_to_0n(vec8d a, vec8d n)

Returns $a \bmod n$ in $[0, n)$ for $a \in (-n, n)$ , by adding $n$ to negative lanes. The vec4d and vec8d versions on AVX2 test the sign bit, so they map $-0.0$ to $n$ ; the others return $-0.0$ . AVX2 and NEON.

Cite this page

The FLINT team, “vec1d_reduce_pm1no_to_0n, vec4d_reduce_pm1no_to_0n, vec8d_reduce_pm1no_to_0n (machine_vectors.h),” FLINT: Fast Library for Number Theory, documentation, version 3.7.0-dev, 2026. https://flintlib.org/doc/machine_vectors/vec1d_reduce_pm1no_to_0n.html (generated 2026-11-02).

@misc{flint-doc-machine-vectors-vec1d-reduce-pm1no-to-0n,
  author       = {{The FLINT team}},
  title        = {{vec1d\_reduce\_pm1no\_to\_0n, vec4d\_reduce\_pm1no\_to\_0n, vec8d\_reduce\_pm1no\_to\_0n (machine\_vectors.h)}},
  howpublished = {FLINT: Fast Library for Number Theory, documentation, version 3.7.0-dev},
  year         = {2026},
  url          = {https://flintlib.org/doc/machine_vectors/vec1d_reduce_pm1no_to_0n.html},
  note         = {Generated 2026-11-02}
}

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