Lectures related to Introduction to MATLAB

Covers the stochastic endowment consumption model, log-linear transformation, impulse response solution, and Matlab codes.

Explores tissue-level wave patterns, cellular oscillators, genetic waves, and gene expression patterns in cellular differentiation.

Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.

Delves into chaos and sensitivity in the double pendulum system, exploring unpredictability and exponential divergence of trajectories.

Explores Poincaré sections, chaos, and strange attractors in nonlinear physics.

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Covers the modeling of interactions and assemblies in engineering simulations using Abaqus software.

Explores the theory of quantum jumps in open quantum systems and their simulation.