More from Math Visualization
Other simulators in this category — or see all 84.
Gradient Descent Optimizers
Compare SGD, momentum, and Adam on a curved loss landscape; tune learning rate, curvature, stability, and iteration count.
Gaussian Mixture EM Algorithm
Expectation-maximization for a two-component Gaussian mixture: responsibilities, E/M steps, likelihood, and covariance ellipses.
Support Vector Machine Margin
Hard/soft-margin SVM sketch with C penalty, hinge loss, support vectors, decision boundary, and margin bands.
Bayesian Updating / Conjugate Priors
Beta-binomial Bayesian updating with prior/posterior curves, posterior predictive probability, and credible intervals.
Markov Chain Mixing
Three-state Markov chain with transition matrix, stationary distribution, total variation distance, detailed-balance cue, and spectral-gap proxy.
LMS / NLMS Adaptive Noise Cancellation
Primary p = s + v with v a fixed unknown FIR of Gaussian reference x[n]. Watch an L-tap FIR adapt by LMS or NLMS so error e = p − wᵀx → s; running MSE and ‖w − h‖.