- Deterministic: Operations produce bit-identical results across languages and compilers
- Fast: All operations use efficient algorithms and are highly optimized
- Multi-Language: Supports C#, Java, and C++
- Multiple Types: Supports signed 32.32 and 16.16 fixed-point numbers
- Multiple Precisions: Operations provide variants with 24, 16, and 10 bits of precision
- Extensive: All standard math functions supported, except hyperbolic trigonometry
- Well Tested: The library comes with a comprehensive performance and precision testing suite
FixPointCS aims to provide as robust and efficient core math operations as possible, while keeping the API simple to stay compatible with multiple languages. It is intended to be a building block for higher-level math libraries, not to be used directly from application code.
For convenience, FixPointCS does include a higher-level math library as well (only for C#). It is provided as an example on how to utilize the core primitives. It also be used as-is, or customized to a project's needs. The convenience library is located in Examples/FixMath.
The simplest and recommended way to use FixPointCS is to copy the relevant source files directly into your project. The core math operations reside in the following files:
- For C#: FixPointCS/Fixed32.cs, FixPointCS/Fixed64.cs and FixPointCS/FixedUtil.cs
- For Java: Java/Fixed32.java, Java/Fixed64.java and Java/FixedUtil.java
- For C++: Cpp/Fixed64.h, Cpp/Fixed32.h and Cpp/FixedUtil.h
For C#, you can also use the provided higher-level math library, located under Examples/FixMath. In order to get started writing applications as easily as possible, using the example library is recommended.
The FixMath library provides basic scalar types (F32 and F64, signed 16.16 and 32.32 fixed-point values, respectively), as well as vector types (F32VecN and F64VecN).
For examples on how to use the FixMath library, see Examples/FixedTracer/FixedTracer.cs, which implements a simple fixed-point raytracer.
Supported operations include:
- Arithmetic: Add(), Sub(), Mul(), Div(), Rcp() (reciprocal), Mod() (modulo)
- Trigonometry: Sin(), Cos(), Tan(), Asin(), Acos(), Atan(), Atan2()
- Exponential: Exp(), Exp2(), Log(), Log2(), Pow()
- Square root: Sqrt(), RSqrt() (reciprocal square root)
- Utility: Abs(), Nabs(), Sign(), Ceil(), Floor(), Round(), Fract(), Min(), Max(), Clamp(), Lerp()
- Conversions: CeilToInt(), FloorToInt(), RoundToInt(), FromDouble(), FromFloat(), ToDouble(), ToFloat()
Note that the conversions to/from floating point values are not guaranteed to be deterministic.
For full list of supported operations, see functions.md.
The library supports both signed 32.32 fixed-point type (Fixed64), and signed 16.16 fixed-point (Fixed32). For each operation, for both types, each approximate function comes with three precision variants with different speed/precision trade off. For example, Sin() has 24 bits of precision, SinFast() has 16 bits of precision and SinFastest() has 10 bits of precision.
The precision is relative to the output value, so for example 10 bits of precision means that the answer is accurate to about 1 part in 1000 (or has error margin of 0.1%). The Fast variant is typically about 10-15% faster than the highest precision, and the Fastest variant about 20-30% faster. See functions.md for details.
Div and Sqrt also come with a Precise variant (DivPrecise(), SqrtPrecise()), which produce a result that is exactly correct within representable fixed-point numbers.
- Few operations are much slower without a 64-bit CPU, most notably s32.32 multiply and division
- The library opts for performance and determinism over full correctness in edge cases like overflows
Available under MIT license, see LICENSE.txt for details.