Explore advanced numerical analysis techniques using MATLAB in this comprehensive tutorial, covering iterative methods for linear systems, interpolation polynomials, and numerical integration. Learn to implement Jacobi, Gauss-Seidel, and relaxation methods for solving linear systems, master Newton and Lagrange interpolating polynomials, and apply numerical integration techniques such as the Trapezoid and Simpson's 1/3 Rule. Gain hands-on experience with MATLAB implementations throughout the course, enhancing your understanding of these powerful mathematical tools for solving complex problems in engineering and scientific computing.
Overview
Syllabus
Iterative Methods for Linear Systems, Jacobi, Gauss Seidel, and Relaxation (Matlab Implementation).
Newton and Lagrange Interpolating Polynomial :: Full Lecture.
Trapezoid and Simpson's 1/3 Rule :: Newton Coates :: Matlab Implementation.
Taught by
Jonathan Walters
