Free Swift Library for 2D, 3D Vector & Matrix Functions
Open Source Swift Library for 2D, 3D Vector & Matrix Functions. It allows to Perform Vector Operations, Matrix Transformations & so on.
Vector operations are at the core of many mathematical and computational tasks in various fields, including graphics, physics simulations, and machine learning. As Swift continues to gain popularity as a versatile and efficient programming language, the need for robust libraries supporting vector math becomes evident. Enter VectorMath, a powerful Swift library designed to streamline vector calculations and empower developers with efficient and easy-to-use functionalities.
VectorMath is a powerful Open Source Swift library that simplifies working with vectors, matrices, and quaternions. Developed with performance and ease of use in mind, the library offers a wide range of functionalities for both 2D and 3D applications. The library provides a set of tools and structures for performing vector operations such as addition, subtraction, multiplication, dot product, cross product, normalization, and more. The library works effortlessly across various Apple platforms, ensuring consistency in vector computations. This cross-platform compatibility is vital for game developers who may need to target multiple devices.
VectorMath clean and concise API allows software developers to perform complex vector operations without sacrificing performance or readability. Additionally, the library's documentation is extensive, offering detailed explanations and examples for each functionality. Whether you are a seasoned game developer or just starting with Swift, incorporating the library into your projects can save you time and effort. So, go ahead and explore the world of vector mathematics with VectorMath – it's time to bring your graphics and game development ideas to life with ease!
Getting Started with VectorMath
The easiest way to install VectorMath stable release is using CocoaPods. Please use the following command for a smooth installation.
Install VectorMath Library using CocoaPods
pod 'VectorMath', '~> 0.4'
pod install
Install VectorMath via GitHub
git clone https://github.com/nicklockwood/VectorMath.git You can download the compiled shared library from Github repository.
Perform Vector Operations in Swift Apps
The open source VectorMath library allows software developers to perform various types of Vector operations inside their Mac and iOS Swift applications. The library provides a comprehensive set of vector operations, including addition, subtraction, scaling, dot product, cross product, and normalization. These operations are optimized to ensure fast and efficient calculations. The following example shows how software developers can creating vectors, matrices, or quaternions with just a few lines of code.
Create Vectors and Perform Operations on It via Swift API
import VectorMath
let vectorA = Vector3(x: 1.0, y: 2.0, z: 3.0)
let vectorB = Vector3(x: 4.0, y: 5.0, z: 6.0)
let sumVector = vectorA + vectorB
let dotProduct = vectorA • vectorB
let normalizedVector = vectorA.normalized()
Apply Matrix Transformations via Swift API
Working with matrices is a breeze with VectorMath. The library provides support for transformation matrices, enabling software developers to perform complex transformations with just a couple of lines of Swift code. The library supports various types of transformations, such as translation, rotation, scaling, shearing, projection, and so on. These capabilities prove invaluable when dealing with graphics rendering and 3D modeling tasks. The following example shows how programmers can perform matrices transformations inside their own Swift applications with just a couple of lines of code.
How to Perform Matrix Transformations inside Swift Apps?
let scaleMatrix = Matrix4.scale(x: 2.0, y: 2.0, z: 2.0)
let vector = Vector3(x: 1.0, y: 2.0, z: 3.0)
let scaledVector = scaleMatrix * vector
Quaternion Support via Swift Library
Quaternion operations are essential in 3D rotations and orientation computations. The open source VectorMath library offers a robust quaternion implementation, allowing software developers to perform operations like quaternion multiplication, interpolation, and conversion to and from other representations. The creators of library aimed to design an intuitive and Swifty API. By following Swift conventions and paradigms, the library feels like a natural extension of the language, reducing the learning curve for developers.