Programming for Mathematical Applications
Convergence criteria refer to the conditions that determine whether a numerical method will reach a solution within a specified tolerance or whether the process will continue indefinitely without converging. In the context of iterative methods, like the Jacobi and Gauss-Seidel methods, these criteria are crucial in assessing the effectiveness and reliability of the algorithms used for solving linear equations. Understanding convergence criteria helps ensure that the solutions obtained from these methods are both accurate and efficient.
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