Resource allocation in rooted trees subject to sum constraints and nonlinear cost functions

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We study resource allocation problems in rooted trees in which demand values are given in the leaves. Single-type resources (weights) are to be assigned in the tree nodes such that the total weight in the rooted path from each leaf to the root equals its demand. The goal is to minimize the total costs of the allocated resources. It is known that the linear cost case, i.e., when the cost of a resource is proportional to its weight, is solvable in linear time. In this paper we show that when costs are monotone nondecreasing functions, which reflect, e.g., (dis)economies of scale, the problem becomes intractable, and design for it a fully polynomial time approximation scheme by formulating it as a dynamic program and using the technique of K-approximation sets and functions.

Original languageEnglish
Article number106114
JournalInformation Processing Letters
Volume170
DOIs
StatePublished - Sep 2021

Bibliographical note

Publisher Copyright:
© 2021

Funding

Supported in part by the Israel Science Foundation, grant number 399/17 and by the United States - Israel Binational Science Foundation (BSF), Jerusalem, Israel, grant number 2018095. Work on this paper was done while being a faculty member at the Hebrew University of Jerusalem, Israel.

FundersFunder number
United States - Israel Binational Science Foundation
United States-Israel Binational Science Foundation2018095
Israel Science Foundation399/17

    Keywords

    • Design of algorithms
    • Dynamic programming
    • FPTAS
    • K-approximation sets and functions
    • Resource allocation

    Fingerprint

    Dive into the research topics of 'Resource allocation in rooted trees subject to sum constraints and nonlinear cost functions'. Together they form a unique fingerprint.

    Cite this