arXiv (All)
open access
Settling the Computational Complexity of Max-Min Allocation with Ternary Valuations
We study the problem of computing an allocation of indivisible items that maximizes egalitarian welfare, i.e., the utility of the worst-off agent, when agents' item values or marginal values belong to a small set. For additive valuations with values in $\{p,q\}$, where $q>p>0$ and $\gcd(p,q)=1$, we
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multiagent negotiation for fair and unbiased resource allocation#499558
- Modelling Combinatorial Auctions in Linear Logic#761396
- Optimal Multi-Item Auctions with I.I.D. Values#1247978
- Inverse knapsack at two capacities: which pairs of value-cardinality hulls are realizable?#1064672
- Iterative Combinatorial Auctions#485660
Record · ID 1201250
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive