Concept

Matrix splitting

Related lectures (25)

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Explores Jacobi, Gauss-Seidel, and SOR iterative methods for solving linear systems efficiently.

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Covers iterative methods for solving linear systems, including Jacobi and Gauss-Seidel methods.

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Covers the Gauss-Seidel method for solving linear systems iteratively with progressive substitution.

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Explores accelerating the Value Iteration algorithm using control theory and matrix splitting techniques to achieve faster convergence.

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Explores iterative methods for solving linear systems of equations, including Jacobi and Gauss-Seidel.

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Explores linear systems, covering direct and iterative methods for solving them with a focus on round-off errors and Richardson's algorithm.

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Explores iterative methods for linear equations, including Jacobi and Gauss-Seidel methods, convergence criteria, and the conjugate gradient method.

Gauss-Seidel Method

Covers the Gauss-Seidel method for solving linear systems with triangular matrices and progressive substitution.

Gauss-Seidel Method

Covers the Gauss-Seidel method for solving linear systems through progressive substitution and iterative processes.

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Solving the linear system: Iterative methods

Explores iterative methods for solving linear systems and multigrid concepts to improve accuracy and convergence.

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Covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations.

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Explores matrix inversion, pivoting, and iterative methods for solving linear systems of equations.

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