Jupyter Notebooks for Numerical Analysis

Related lectures (30)

Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.

Explores the Thomas algorithm for tridiagonal systems and the accuracy of direct methods in numerical computations.

Covers numerics for fluids, structures, and electromagnetics, emphasizing the importance of eigenvalues and eigenfunctions.

Covers the application of numerical methods to solve differential equations using MATLAB.

Explores numerical methods for solving ODE systems, stability regions, and absolute stability importance.

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Delves into the mechanics of slender structures using naturally curly hair in 3D as an example.

Explores the Cholesky factorization method for symmetric positive definite matrices.

Covers the retrograde Euler method, an implicit numerical scheme used to solve equations and the concept of convergence order.

Explores the classification and practical applications of symmetries in 3D space, emphasizing user-driven determination of object symmetries.

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