An algorithm must solve a problem in a finite number of steps to ensure that it produces a result within a reasonable timeframe and is practically usable. If an algorithm were to run indefinitely or take an infinite number of steps, it would be ineffective for practical applications, as users would be unable to rely on it to yield answers. Finite steps also allow for the analysis of the algorithm's efficiency and complexity, making it easier to optimize and compare with other algorithms. Ultimately, this characteristic is essential for the reliability and functionality of computational processes.
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