Middlebury Institute of International Studies at Monterey

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MATH0328A-S25

Numerical Linear Algebra

Numerical Linear Algebra
Numerical Linear Algebra involves the development, analysis, and implementation of computational algorithms for solving linear algebra problems. These problems frequently arise in applications such as physical simulations, signal processing, neural network design, and many more. This course focuses on numerical methods for linear systems and eigenvalue problems. We will study both direct and iterative approaches, including Gaussian Elimination, LU Factorization, Jacobi and Gauss-Seidel Iterations, Steepest Descent, Conjugate Gradient, the Power Method, and more. Additional key topics include matrix decompositions, matrix/vector norms, computational efficiency, and stability. MATLAB programming skills will be introduced and developed throughout the semester. (MATH 0122 and MATH 0200)
Course Reference Number (CRN):
22518
Subject Code:
MATH
Course Number:
0328
Section Identifier:
A

Course

MATH 0328

All Sections in Spring 2025

Spring 2025