Numerical Methods in Chemistry

Related lectures (30)

Page 2 of 3

Introduces Matlab basics, error handling, and billiards project concepts.

Covers numerical methods for solving boundary value problems using Crank-Nicolson and FFT.

Covers the bisection method for finding zeros of continuous functions through iterative narrowing of intervals.

Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.

Explores MATLAB integration, differentiation, ODE solvers, and simulation techniques for dynamic systems.

Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.

Introduces the bisection method for finding zeros of nonlinear functions.

Introduces the bisection method for resolving nonlinear equations using numerical techniques and Python programming.

Covers methods for solving nonlinear equations, including bisection and Newton-Raphson methods, with a focus on convergence and error criteria.

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