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Lecture
Linear Systems: Iterative Methods
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Related lectures (30)
Linear Systems: Iterative Methods
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Explores linear systems and iterative methods like gradient descent and conjugate gradient for efficient solutions.
Nonlinearity: Methods and Examples
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Explores nonlinearity in numerical flow simulation, covering linearization methods and practical examples.
Newton's Method: Convergence and Criteria
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Explores the Newton method for non-linear equations, discussing convergence criteria and stopping conditions.
Iterative Methods for Linear Systems
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Covers iterative methods for solving linear systems of equations and discusses the convergence properties of methods like Richardson's method.
Gauss-Seidel Method
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Covers the Gauss-Seidel method for solving linear systems through progressive substitution and iterative processes.
Linear Systems: Direct and Iterative Methods
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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.
Jacobi Method: Part I
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Introduces the Jacobi method for solving linear systems by iteratively updating the diagonal elements of a matrix.
The Conjugate Gradients Method (CG)
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Covers the Conjugate Gradients method for solving linear systems iteratively with quadratic convergence and emphasizes the importance of linear independence among conjugate directions.
Iterative Methods: Error Control and Linear Systems Resolution
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Explores iterative methods for solving linear systems with a focus on error control.
Convergence Analysis: Iterative Methods
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Covers the convergence analysis of iterative methods and the conditions for convergence.
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