One of the most widely used noise functions, particularly within generative art, is Perlin noise, a type of gradient noise. This article delves into its successors: Simplex Noise and OpenSimplex Noise. Furthermore, it provides a guide on implementing OpenSimplex Noise within the Processing environment.

When working with large datasets, spatial partitioning data structures become essential. Among these, the Quadtree is particularly notable. This article explores how to accelerate searches using Quadtree partitioning.

This article introduces the FABRIK algorithm, a method used for inverse kinematics in applications like robotic arms and character animation.

For anyone captivated by waveforms or vibrations, the term “Lissajous Figures” might already sound familiar. These beautiful, interwoven patterns are formed by two simple waves and can be seen in scientific experiments, art installations, and beyond.

This article describes how to create shapes (circles) using Minkowski distance with Processing.

This article presents the formula and how to create a digital representation of the chladni plate (chladni figure) using Processing. The most classical way of visualizing and expressing sound. You can enjoy the various geometric patterns created by sound.

How to create particles on a spherical surface with Processing.

It is how to create a doughnut shape using trigonometric functions. As you read the code, think about where math is used.

This is a visual representation of sound using Processing, using the FFT (Fast Fourier Transform) values of Processing’s Sound library to draw sounds as if you were writing a musical score. You can replace the sample.wav part in the code with any sound you like and play it back with different values.