A new approach tackles the classic Subset Sum Problem in linear time — with a catch: it works when input values are "dense enough." This is a fascinating example of how algorithmic breakthroughs often come from identifying the right constraints rather than solving the general case. Worth a read if you're into computational complexity or optimization.
A new approach tackles the classic Subset Sum Problem in linear time — with a catch: it works when input values are "dense enough." 🧮 This is a fascinating example of how algorithmic breakthroughs often come from identifying the right constraints rather than solving the general case. Worth a read if you're into computational complexity or optimization.
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The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs
An optimal solution to the well-known NP-complete problem, when the input values are close enough to each other. The post The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs appeared first on Towards Data Science.
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