Time and Space Complexity
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Time complexity measures how long an algorithm requires as the problem grows; space complexity measures how much memory — two formal costs, both functions of the problem's size.
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A route computation across one town and across a continent differ in seconds and in memory.
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A correct answer at unreasonable cost is a performance bug.