Time-space tradeoffs refer to the balance between the amount of time taken to perform a task and the amount of memory or space required for the algorithm's implementation. This concept highlights the fact that by using more memory or resources, one can often reduce the time required for computation, and vice versa. Understanding this tradeoff is crucial in programming as it helps developers make informed decisions about optimizing algorithms based on available resources.
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