Deterministic polynomial time refers to a class of computational problems that can be solved by an algorithm in a time that grows polynomially with the size of the input. In simpler terms, if an algorithm is deterministic and can solve a problem within a time frame of $$O(n^k)$$ for some constant $$k$$, then it is classified as being in deterministic polynomial time. This classification is crucial for understanding the efficiency of algorithms and helps differentiate between feasible and infeasible solutions in computer science.
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