The Complexity of Student-Project-Resource Matching-Allocation Problems
Abstract
I settle the computational complexity of student-project-resource matching-allocation problems, in which students and resources are assigned to projects pc2017. A project's capacity for students is endogenously determined by the resources allocated to it. I show that finding a nonwasteful matching is FPNP[log]-hard, and deciding a stable matching is NPNP-complete. To obtain these results, I introduce two new problems: (i) ParetoPartition, shown FPNP[poly]-hard and also strongly FPNP[log]-hard, and (ii) ∀∃-4-Partition, shown strongly NPNP-complete.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.