Framework for er-completeness of two-dimensional packing problems

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Framework for er-completeness of two-dimensional packing problems. / Abrahamsen, Mikkel; Miltzow, Tillmann; Seiferth, Nadja.

Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020. IEEE Computer Society Press, 2020. p. 1014-1021 9317895.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Abrahamsen, M, Miltzow, T & Seiferth, N 2020, Framework for er-completeness of two-dimensional packing problems. in Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020., 9317895, IEEE Computer Society Press, pp. 1014-1021, 61st IEEE Annual Symposium on Foundations of Computer Science, FOCS 2020, Virtual, Durham, United States, 16/11/2020. https://doi.org/10.1109/FOCS46700.2020.00098

APA

Abrahamsen, M., Miltzow, T., & Seiferth, N. (2020). Framework for er-completeness of two-dimensional packing problems. In Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020 (pp. 1014-1021). [9317895] IEEE Computer Society Press. https://doi.org/10.1109/FOCS46700.2020.00098

Vancouver

Abrahamsen M, Miltzow T, Seiferth N. Framework for er-completeness of two-dimensional packing problems. In Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020. IEEE Computer Society Press. 2020. p. 1014-1021. 9317895 https://doi.org/10.1109/FOCS46700.2020.00098

Author

Abrahamsen, Mikkel ; Miltzow, Tillmann ; Seiferth, Nadja. / Framework for er-completeness of two-dimensional packing problems. Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020. IEEE Computer Society Press, 2020. pp. 1014-1021

Bibtex

@inproceedings{8e8623e065154d96ab747837be9d70e0,
title = "Framework for er-completeness of two-dimensional packing problems",
abstract = "We show that many natural two-dimensional packing problems are algorithmically equivalent to finding real roots of multivariate polynomials. A two-dimensional packing problem is defined by the type of pieces, containers, and motions that are allowed. The aim is to decide if a given set of pieces can be placed inside a given container. The pieces must be placed so that in the resulting placement, they are pairwise interior-disjoint, and only motions of the allowed type can be used to move them there. We establish a framework which enables us to show that for many combinations of allowed pieces, containers, and motions, the resulting problem is ER-complete. This means that the problem is equivalent (under polynomial time reductions) to deciding whether a given system of polynomial equations and inequalities with integer coefficients has a real solution. A full version of this extended abstract is available on https://arxiv.org/abs/1704.06969.",
keywords = "Existential Theory of the Reals, Geometric Packing",
author = "Mikkel Abrahamsen and Tillmann Miltzow and Nadja Seiferth",
year = "2020",
doi = "10.1109/FOCS46700.2020.00098",
language = "English",
pages = "1014--1021",
booktitle = "Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020",
publisher = "IEEE Computer Society Press",
address = "United States",
note = "61st IEEE Annual Symposium on Foundations of Computer Science, FOCS 2020 ; Conference date: 16-11-2020 Through 19-11-2020",

}

RIS

TY - GEN

T1 - Framework for er-completeness of two-dimensional packing problems

AU - Abrahamsen, Mikkel

AU - Miltzow, Tillmann

AU - Seiferth, Nadja

PY - 2020

Y1 - 2020

N2 - We show that many natural two-dimensional packing problems are algorithmically equivalent to finding real roots of multivariate polynomials. A two-dimensional packing problem is defined by the type of pieces, containers, and motions that are allowed. The aim is to decide if a given set of pieces can be placed inside a given container. The pieces must be placed so that in the resulting placement, they are pairwise interior-disjoint, and only motions of the allowed type can be used to move them there. We establish a framework which enables us to show that for many combinations of allowed pieces, containers, and motions, the resulting problem is ER-complete. This means that the problem is equivalent (under polynomial time reductions) to deciding whether a given system of polynomial equations and inequalities with integer coefficients has a real solution. A full version of this extended abstract is available on https://arxiv.org/abs/1704.06969.

AB - We show that many natural two-dimensional packing problems are algorithmically equivalent to finding real roots of multivariate polynomials. A two-dimensional packing problem is defined by the type of pieces, containers, and motions that are allowed. The aim is to decide if a given set of pieces can be placed inside a given container. The pieces must be placed so that in the resulting placement, they are pairwise interior-disjoint, and only motions of the allowed type can be used to move them there. We establish a framework which enables us to show that for many combinations of allowed pieces, containers, and motions, the resulting problem is ER-complete. This means that the problem is equivalent (under polynomial time reductions) to deciding whether a given system of polynomial equations and inequalities with integer coefficients has a real solution. A full version of this extended abstract is available on https://arxiv.org/abs/1704.06969.

KW - Existential Theory of the Reals

KW - Geometric Packing

UR - http://www.scopus.com/inward/record.url?scp=85100329295&partnerID=8YFLogxK

U2 - 10.1109/FOCS46700.2020.00098

DO - 10.1109/FOCS46700.2020.00098

M3 - Article in proceedings

AN - SCOPUS:85100329295

SP - 1014

EP - 1021

BT - Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020

PB - IEEE Computer Society Press

T2 - 61st IEEE Annual Symposium on Foundations of Computer Science, FOCS 2020

Y2 - 16 November 2020 through 19 November 2020

ER -

ID: 258402025