A Linearithmic Time Locally Optimal Algorithm for the Multiway Number Partition Optimization
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We study the problem of multiway number partition optimization, which has a myriad of applications in the decision, learning and optimization literature. Even though the original multiway partitioning problem is NP-hard and requires exponential time complexity algorithms; we formulate an easier optimization problem, where our goal is to find a solution that is locally optimal. We propose a linearithmic time complexity O(Nlog N) algorithm that can produce such a locally optimal solution. Our method is robust against the input and requires neither positive nor integer inputs.
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