Mathematics often feels like an abstract fortress, but the "Co" in this category opens a door to computational complexity, a field dedicated to understanding the limits of what computers can solve efficiently. It explores why some problems are easy to crack while others remain stubbornly out of reach, even with the most powerful machines imaginable. This area sits at the crossroads of pure math and computer science, shaping how we approach cryptography, optimization, and the very nature of computation itself.

At Gist.Science, we bridge the gap between these dense theoretical papers and curious readers by processing every new preprint in this category directly from arXiv. Our team generates both detailed technical summaries for experts and accessible plain-language explanations for everyone else, ensuring that groundbreaking research is never locked behind a wall of jargon. Below are the latest papers in computational complexity, ranging from new algorithmic breakthroughs to deep theoretical insights.

🔢 mathematics

Partitioning set [n]={1,,n}[n] = \{1, \dots, n\} into subsets of size at most mm such that all sums are powers of mm

This paper investigates the existence and uniqueness of partitions of the set {1,,n}\{1, \dots, n\} into subsets of size at most mm with sums that are powers of mm, proving that while such partitions fail for infinitely many nn when m>3m > 3, they likely exist for all nn when m=3m = 3 (subject to specific constraints on potential counter-examples) and establishing exact counts for the number of such partitions for various values of nn.

Vladimir Gurvich, Mariya Naumova2026-07-17