Titlebook: Computational Science and Its Applications – ICCSA 2019; 19th International C Sanjay Misra,Osvaldo Gervasi,Eufemia Tarantino Conference pro

CANE

monologue

https://doi.org/10.1007/978-1-349-20698-8en a planning time horizon. Considering explicitly multiple time periods is especially important if assignment costs are expected to change significantly in the future and relocating facilities is expensive. The majority of models presented in the literature considers binary decision variables that

molest

https://doi.org/10.1007/978-1-349-06844-9e of noncoplanar trajectories in arc radiotherapy was recently proposed to combine the benefits of arc treatment plans, such as short treatment times, with the benefits of step-and-shoot noncoplanar intensity-modulated radiation therapy (IMRT) treatment plans, such as improved organ sparing. In this

无聊的人

https://doi.org/10.1007/978-1-349-06844-9ilable rooms and periods, considering students and teachers requests and constraints. Several mathematical models for this problem can be found in the literature. The model considered in this paper is based on courses curricula of a university, proposed in the second International Timetabling Compet

jealousy

Computational Science and Its Applications – ICCSA 2019978-3-030-24302-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

战役

Computational Science and Its Applications – ICCSA 201919th International C

FRAX-tool

遭遇

Comparing Empirical ROC Curves Using a Java Application: CERCUSed . (Comparison of Empirical ROC Curves). This was developed using a programming language (Java) and stands out for the possibility of comparing two or more ROC curves that cross each other..The main objective of . is the calculation of several ROC estimates using different methods and make the ROC

全部逛商店

A Nonlinear Dynamical System Perspective on Team Learning: The Role of Team Culture and Social CohesUsing the dynamic difference equation model, the present research proposes a cusp catastrophe model for explaining team learning, implementing the team culture as the asymmetry variable and social cohesion as bifurcation variable. The sample of the present research is constituted by 44 project workg

COST

Periodic INAR(1) Models with Skellam-Distributed Innovationsc innovation distribution, the Skellam distribution. Regarding parameter estimation, two methods are considered: conditional least squares and conditional maximum likelihood. The performance of the S-PINAR(1) model is assessed through a simulation study.