Problem complexity refers to the inherent difficulty of solving a particular problem, often measured in terms of the resources required, such as time and space, as the size of the input increases. Understanding problem complexity is crucial because it helps categorize problems based on how hard they are to solve and informs the choice of algorithms and strategies that can be used to tackle them. This concept is especially relevant in reduction techniques, where one problem can be transformed into another to leverage known solutions or to demonstrate relationships between problems.
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