MorphIQ Labs

MorphIQ Numerics / Numerical computing

Verifiable precision. Reproducible results.

Correctly rounded core functions, machine-checked error bounds and SIMD kernels that preserve scalar results across supported platforms.

Double-precision numerical functions
binary64
Matching results on supported paths
Scalar + SIMD
No platform libm dependency
no_std
Numerical contracts on GitHub
ONE VALUE, REPRODUCIBLE BITSA rounding decision on the number linef₋ff₊Exact valueNearest representable binary64 valueScalarSIMD lanesMatching bits on supported paths
Illustrative rounding and scalar/vector reproducibility; guarantees have function-specific domains.

Capabilities

A focused responsibility. A clear interface.

01

Anchor the mathematics

Use independent references and explicit numerical contracts to establish expected behavior.

02

Bound the error

State which functions and domains are covered by machine-checked error bounds.

03

Preserve the result

Treat reproducibility across supported scalar and vector paths as a property to verify.

Explore the family

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