Optimizing the balance of time and spatial complexity in dynamic programming

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The article explores the problem of balancing time and space complexity in the context of dynamic programming. Dynamic programming is widely used to optimize problems with overlapping subproblems. Choosing an optimal computation strategy that takes into account both execution time and memory usage is a challenging task.

Dynamic programming, time complexity, space complexity, optimization, balance

Короткий адрес: https://sciup.org/170200372

IDR: 170200372   |   DOI: 10.24412/2500-1000-2023-9-1-236-238

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