Explore Modules

Mandelbrot Set

A famous fractal generated from a simple equation in the complex plane.

Bezier Curves

Parametric curves for computer graphics.

Numerical Integration

Visualizing Riemann sums, Trapezoidal, and Simpson's rules to approximate definite integrals.

Matrix Multiplication

Visualize how 2x2 matrices transform space and combine through multiplication.

Random Walk

Visualize a 1D random walk over time.

Gradient Descent

Finding the minimum of a cost function.

Harmonic Oscillation

Simulating spring-mass systems and damping.

Logistic Map & Chaos

Exploring bifurcation and deterministic chaos.

Projectile Motion

Simulating parabolic trajectories under gravity.

Sorting Algorithms

Visualizing how data is ordered.

Taylor Series

Approximating functions with polynomials.

Monte Carlo Simulation

Estimating Pi using random points in a circle.

Complex Number Visualization

Perceptron

Visualize the Perceptron algorithm learning a linear decision boundary.

A* Pathfinding

Finds the shortest path on a grid using heuristics.

Binary Search

Finding elements in sorted data by halving the search space.

Boyle's Law

Exploring the inverse relationship between pressure and volume in an ideal gas at constant temperature.

Central Limit Theorem

Sample means converge to a normal distribution regardless of the population shape.

Dijkstra's Algorithm

Finding the shortest path in a weighted graph by greedily exploring the nearest unvisited node.

Dot Product & Projection

Visualizing vector projection and orthogonality.

Eigenvalues & Eigenvectors

Discovering the special directions that remain unchanged under linear transformations.

Euler's Formula

Visualizing e^(iθ) on the complex plane and the world's most beautiful equation.

Fibonacci & Golden Ratio

Exploring the Fibonacci sequence and its connection to the golden ratio.

Fourier Transform

Decompose a complex wave into simple sine waves.

Graph Traversal (BFS/DFS)

Visualize how Breadth-First and Depth-First Search algorithms navigate through graph data structures.

K-Means Clustering

Partitioning data into clusters by iteratively assigning points and updating centroids.

Linear Regression

Fitting a line to data by minimizing the sum of squared residuals.

Linear Transformations

Visualizing 2D transformations via matrix operations.

Probability Distributions

Exploring continuous probability density functions and their parameters.