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Lecture
Solving the linear system: Iterative methods
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Related lectures (30)
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Jacobi and Gauss-Seidel methods
Explains the Jacobi and Gauss-Seidel methods for solving linear systems iteratively.
Iterative Methods: Linear Systems
Explores iterative methods for solving linear systems, including Jacobi and Gauss-Seidel methods, Cholesky factorization, and preconditioned conjugate gradient.
Solving the linear system - Nonlinearity
Explores solving linear systems and addressing nonlinearity in numerical flow simulations using multigrid and linearization methods.
Numerical Analysis: Linear Systems
Covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations.
Matrix Construction and Function Manipulation
Covers tips on matrix construction and function manipulation using MATLAB.
Linear Systems: Iterative Methods
Covers iterative methods for solving linear systems, including Jacobi and Gauss-Seidel methods.
Iterative methods: Jacobi, Gauss-Seidel, SOR
Explores Jacobi, Gauss-Seidel, and SOR iterative methods for solving linear systems efficiently.
Iterative Methods for Linear Equations
Covers iterative methods for solving linear equations and analyzing convergence, including error control and positive definite matrices.
Iterative Methods for Linear Equations
Explores iterative methods for linear equations, including Jacobi and Gauss-Seidel methods, convergence criteria, and the conjugate gradient method.
Linear Systems: Direct and Iterative Methods
Explores linear systems, covering direct and iterative methods for solving them with a focus on round-off errors and Richardson's algorithm.
