MathSharp
MathSharp is a high-performance vector and matrix library developed in C that leverages hardware intrinsics to achieve significant speed gains over standard .NET math implementations. Designed for applications requiring intensive mathematical calculations, such as 3D graphics, physics simulations, and game development, it delivers superior throughput for operations like matrix equality checks, transposition, and arithmetic. Benchmark results indicate that MathSharp outperforms alternatives including System.Numerics and OpenTk, offering nanosecond-level execution times for common vectorized tasks. The library supports .NET Core 3.0 and later versions and is compatible with Windows, Linux, and macOS on x64 and x86 architectures. Despite its technical achievements in raw performance, the project explicitly advises against adoption for new general-purpose projects as of 2022. This recommendation stems from the fact that modern .NET intrinsics and built-in vector types have since evolved to provide comparable func