how to evaluate the performance of a good algorithm??
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One method to evaluate the performance and compare it with other algorithms is to run them on randomly generated inputs from a distribution (based on actual inputs or a theoretical model of inputs) and measure the average running time of the algorithms.
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Compare it with other algorithms is to run them on randomly generated inputs from a distribution and measure the average running time of the algorithms
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