The rate of convergence is a measure of how quickly a numerical method approaches its exact solution as the number of iterations increases. It describes the relationship between the error at each iteration and how that error decreases with successive iterations, which is essential for understanding the efficiency and effectiveness of algorithms. A faster rate of convergence means fewer iterations are needed to achieve a desired level of accuracy, impacting both convergence and error analysis as well as specific methods like fixed-point iteration.
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