
TL;DR
This paper presents a polynomial-time algorithm for optimizing Young diagrams to minimize the sum of evaluations of two functions on conjugate partitions, despite the exponential number of possible diagrams.
Contribution
It introduces a polynomial-time solution to a problem previously thought to be complex due to the exponential number of diagrams.
Findings
Polynomial-time algorithm for Young diagram optimization
Efficient evaluation of conjugate partition functions
Overcomes exponential complexity in diagram selection
Abstract
We consider the problem of finding a Young diagram minimizing the sum of evaluations of a given pair of functions on the parts of the associated pair of conjugate partitions. While there are exponentially many diagrams, we show it is polynomial time solvable.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
