The primary goal of MATH 6644 is to provide students with a deep understanding of the mathematical foundations and practical implementations of iterative solvers. Unlike direct solvers (like Gaussian elimination), iterative methods are essential when dealing with "sparse" matrices—those where most entries are zero—common in the discretization of partial differential equations (PDEs). Key learning outcomes include:
, also known as Iterative Methods for Systems of Equations , is a high-level graduate course frequently offered at the Georgia Institute of Technology (Georgia Tech) and cross-listed with CSE 6644 . It is designed for students in mathematics, computer science, and engineering who need robust numerical tools to solve large-scale linear and nonlinear systems that arise in scientific computing and physical simulations. Core Course Objectives math 6644
Foundational techniques such as Jacobi , Gauss-Seidel , and Successive Over-Relaxation (SOR) . The primary goal of MATH 6644 is to
Choosing the right numerical method based on system properties (e.g., symmetry, definiteness). It is designed for students in mathematics, computer
Line searches and trust-region approaches to ensure methods converge even from poor initial guesses. Typical Prerequisites and Tools