[−][src]Crate micromath
Embedded math library featuring fast, safe floating point approximations for common arithmetic operations, 2D and 3D vector types, and statistical analysis.
Floating point approximations
micromath
supports approximating many arithmetic operations on f32
using bitwise operations, providing great performance and small code size
at the cost of precision. For use cases like graphics and signal
processing, these approximations are often sufficient and the performance
gains worth the lost precision.
These approximations are provided by an F32Ext
trait which is impl'd for
f32
, providing a drop-in std
-compatible (sans lost precision) API.
use micromath::F32Ext; let n = 2.0.sqrt(); assert_eq!(n, 1.5); // close enough
Unused import warnings when linking std
Since the F32Ext
trait provides methods which are already defined in
std
, in cases where your crate links std
the F32Ext
versions of
the same methods will not be used, in which case you will get an unused
import warning for F32Ext
.
If you encounter this, add an #[allow(unused_imports)]
above the import.
#[allow(unused_imports)] use micromath::F32Ext;
Re-exports
pub use generic_array; |
pub use vector::Vector; |
pub use vector::VectorExt; |
Modules
statistics | Statistical analysis support |
vector | Algebraic vector types generic over a number of axes and a component type |
Traits
F32Ext |
|