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Jian Liu, Mika Juuti, Yao Lu, and N. Yulong Cao, Jie You, and Z. Watch Me, but Don’t Touch Me! Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, and Ben Y. Alexander Gamero-Garrido, Stefan Savage, Kirill Levchenko, and Alex C. A Comprehensive Symbolic Analysis of TLS 1. Theofilos Petsios, Jason Zhao, Angelos D.
Oliveira, Josenildo da Silva, Omar A. HWBI : Health and Well-Being Index. A neural network based index which quantifies the cumulative impact of lifestyle habits on personal health and well-being and demonstration of its application in managing the risk of diabetes. Ackeem Joseph, John Kildea, Tarek Hijal, Laurie Hendren, David H. Foreclosure Sale and House Value: Correlation or Causation? It is particularly hoped that the study of these practical problems will lead to the discovery of new ideas and the development of novel methodologies in optimization. AIMS is a member of COPE.
All AIMS journals adhere to the publication ethics and malpractice policies outlined by COPE. Publishes 4 issues a year in January, April, July and October. Publishes both online and in print. CNRS, Scopus, Web of Science and Zentralblatt MATH. JIMO is published by the American Institute of Mathematical Sciences and sponsored by Curtin University and Zhejiang University. The Ebola virus disease is a severe viral haemorrhagic fever syndrome caused by Ebola virus.
Recently, some mathematical models have been presented to analyse the spread of the 2014 Ebola outbreak in West Africa. Ebola model and optimal control with vaccination constraints. In this paper the authors work with the subactivities of timetable construction: minimal frequency calculation and departure time scheduling. The authors propose to solve both subactivities in an integrated way.
The multimodal and multiperiod urban transportation integrated timetable construction problem with demand uncertainty. In this paper, we introduce a novel fully exponentially convergent direct integral pseudospectral method for the numerical solution of optimal control problems governed by a parabolic distributed parameter system. Optimal control of a parabolic distributed parameter system using a fully exponentially convergent barycentric shifted gegenbauer integral pseudospectral method. We revisit the classical online scheduling problem on parallel machines for minimizing total weighted completion time. In the problem, a set of independent jobs arriving online over time has to be scheduled on identical machines, where the information of each job including its processing time and weight is not known in advance. The goal is to minimize the total weighted completion time of the jobs. 11-competitive algorithm for online scheduling on parallel machines to minimize total weighted completion time.