Computational cost refers to the amount of resources, such as time and memory, required to execute an algorithm or computational method. It is a crucial consideration in numerical methods as it helps determine the efficiency and feasibility of different approaches. Understanding computational cost allows one to optimize algorithms for better performance, particularly in methods that need to handle large datasets or complex calculations.
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