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An O(n\log n)-Time Algorithm for Linearly Ordered Packing of 2-Bar Charts into OPT+1 Bins Научная публикация

Конференция 22nd International conference "Mathematical Optimization Theory and Operations Research"
02-08 июл. 2023 , Екатеринбург
Сборник Mathematical Optimization Theory and Operations Research: Recent Trends
Сборник, Springer. 2023. 406 c.
Журнал Communications in Computer and Information Science
ISSN: 1865-0929
Вых. Данные Год: 2023, Страницы: 122-133 Страниц : 12 DOI: 10.1007/978-3-031-43257-6_10
Ключевые слова Bar charts · Packing · Approximation
Авторы Erzin Adil 1 , Kononov Alexander 1 , Nazarenko Stepan 2 , Sharankhaev Konstantin 2
Организации
1 Sobolev Institute of Mathematics, SB RAS
2 Novosibirsk State University

Информация о финансировании (1)

1 Институт математики им. С.Л. Соболева СО РАН FWNF-2022-0019

Реферат: Given a sequence of bins and n bar charts consisting of two bars each (2-BCs). Every bar has a positive height not exceeding 1. Each bin can contain any subset of bars of total height at most 1. It is required to pack all 2-BCs into the minimal number of bins so that the bars of each 2-BC do not change their order and occupy adjacent bins. Previously, a special case of the problem was considered where the first bars of any two 2-BCs cannot be placed into the same bin. For this case an O(n2)-time algorithm that constructs a packing of length at most OPT +1,where OPT is the optimum, was presented. In this paper, we propose a new, less time-consuming algorithm that also constructs a packing of length at most OPT +1 for the same case of the problem with time complexity equals to O(n log n).
Библиографическая ссылка: Erzin A. , Kononov A. , Nazarenko S. , Sharankhaev K.
An O(n\log n)-Time Algorithm for Linearly Ordered Packing of 2-Bar Charts into OPT+1 Bins
В сборнике Mathematical Optimization Theory and Operations Research: Recent Trends. – Springer., 2023. – Т.1881. – C.122-133. DOI: 10.1007/978-3-031-43257-6_10 Scopus OpenAlex
Даты:
Опубликована в печати: 21 сент. 2023 г.
Опубликована online: 21 сент. 2023 г.
Идентификаторы БД:
Scopus: 2-s2.0-85174573258
OpenAlex: W4386891738
Цитирование в БД: Пока нет цитирований
Альметрики: