scholarly journals Polynomial-time inverse computation for accumulative functions with multiple data traversals

2012 ◽  
Author(s):  
Kazutaka Matsuda ◽  
Kazuhiro Inaba ◽  
Keisuke Nakano
Keyword(s):  
Polynomial Time ◽  
Multiple Data

scholarly journals Polynomial-time inverse computation for accumulative functions with multiple data traversals

2012 ◽  
Vol 25 (1) ◽  
pp. 3-38 ◽  
Author(s):  
Kazutaka Matsuda ◽  
Kazuhiro Inaba ◽  
Keisuke Nakano
Keyword(s):  
Polynomial Time ◽  
Multiple Data

The 2-closure of a 32-transitive group in polynomial time

2018 ◽  
Vol 60 (2) ◽  
pp. 360-375
Author(s):  
A. V. Vasil'ev ◽  
D. V. Churikov
Keyword(s):  
Polynomial Time ◽  
Transitive Group

Spatial and temporal dynamics of Pacific capelin Mallotus catervarius in the Gulf of Alaska: implications for ecosystem-based fisheries management

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Marine Ecosystem ◽  
Gulf Of Alaska ◽  
Data Series ◽  
Limited Information ◽  
Important Species ◽  
Multiple Data ◽  
Spatial And Temporal Dynamics ◽  
Spawning Areas ◽  
Spatio Temporal

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.

Learning Importance of Preferences

10.29007/v68w ◽  
2018 ◽  
Author(s):  
Ying Zhu ◽  
Mirek Truszczynski
Keyword(s):  
Polynomial Time ◽  
Polynomial Time Algorithm ◽  
Time Algorithm ◽  
Scoring Rules ◽  
Np Hard ◽  
Individual Preferences

We study the problem of learning the importance of preferences in preference profiles in two important cases: when individual preferences are aggregated by the ranked Pareto rule, and when they are aggregated by positional scoring rules. For the ranked Pareto rule, we provide a polynomial-time algorithm that finds a ranking of preferences such that the ranked profile correctly decides all the examples, whenever such a ranking exists. We also show that the problem to learn a ranking maximizing the number of correctly decided examples (also under the ranked Pareto rule) is NP-hard. We obtain similar results for the case of weighted profiles when positional scoring rules are used for aggregation.

Maintenance of a Genetic Data Set on Multiple Data Base and Statistical Analysis Systems

1982 ◽  
Vol 61 (s109) ◽  
pp. 34-34
Author(s):  
Samuel J. Agronow ◽  
Federico C. Mariona ◽  
Frederick C. Koppitch ◽  
Kazutoshi Mayeda
Keyword(s):  
Statistical Analysis ◽  
Data Base ◽  
Genetic Data ◽  
Data Set ◽  
Multiple Data

Этапы внедрения производственной электронной модели системы водоснабжения и водоотведения

2020 ◽  
Author(s):  
E. Rozhnov ◽  
E. Siksina
Keyword(s):  
Water Supply ◽  
Water Distribution ◽  
Product Line ◽  
Graphic System ◽  
Wastewater Disposal ◽  
Multiple Data ◽  
Performance Specifications ◽  
Data Processing Center ◽  
Operational Program ◽  
Rational Operation

С целью упорядочения и анализа информации о системе распределения воды и стоков г. Новокузнецка и исключения многократного дублирования данных в разных информационных средах было принято решение о внедрении разработки компании ИВЦ Поток Информационно-графической системы ГидроГраф из линейки продуктов под торговой маркой CityComТМ. В настоящее время система ГидроГраф активно используется многими подразделениями ООО Водоканал . Планирование производственной программы на сегодняшний день уже невозможно без системы ГидроГраф . С ее помощью осуществляется выдача технических заданий, подготовка отключений, составление планов производства работ, заключение договоров с новыми абонентами, оптимизация системы водоснабжения и водоотведения. Появление полноценной, выверенной и постоянно актуализируемой базы данных позволило оперативно и в удобной форме решать множество задач. При этом обеспечивается повышение эффективности и точности планирования ремонтов, сокращение издержек и в целом рациональная эксплуатация системы водоснабжения и водоотведения г. Новокузнецка.To provide for sorting and analyzing the data on the water distribution and sewer network system in Novokuznetsk and to avoid multiple data duplication in various IT environments, it was decided to introduce the product of Potok data processing center HydroGraph Information and Graphic System from the product line under CityComTM trademark. Currently, HydroGraph system has been in active use by many divisions of Vodokanal, LLC. Planning an operational program today is no longer possible without HydroGraph system. The system provides for issuing the performance specifications, preparing for shutdowns, compiling work execution plans, signing contracts with new customers, and upgrading the water supply and wastewater disposal systems. The development of a meaningful, verified and continuously updated database made it possible to quickly and conveniently solve many problems. Therein it ensures improved efficiency and accuracy of repair planning, cost reduction and generally rational operation of the water supply and wastewater disposal system in Novokuznetsk.

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