نتایج جستجو برای: negative deviational variable

تعداد نتایج: 778854  

Journal: :Annals of GIS 2021

Information diffusion on social media during disasters is an important indicator of community resilience. As a common natural hazard in the U.S., winter storms often cause adverse socio-economic impacts human society. Understanding people’s perception and behaviours to mitigate negative promote This study applies text mining spatial analysis methods Twitter data Winter Storm Diego 2018 December...

2012
Jean-Philippe M. Péraud Nicolas G. Hadjiconstantinou

We present a new method for simulating phonon transport at the nanoscale. The proposed approach is based on the recently developed energy-based deviational Monte Carlo method by the authors [Phys. Rev. B 84, 205331, 2011] which achieves significantly reduced statistical uncertainty compared to standard Monte Carlo methods by simulating only the deviation from equilibrium. Here, we show that und...

Journal: :Advances in Materials Science and Engineering 2015

Journal: :Computers & OR 1998
Han-Lin Li

Scope and PurposeÐLeast absolute value (LAV) regression methods have been widely applied in estimating regression equations. However, most of the current LAV methods are based on the original goal program developed over four decades. On the basis of a modi®ed goal program, this study reformulates the LAV problem using a markedly lower number of deviational variables than used in the current LAV...

The purpose of this study was to explore the predictors of negative attitudes towards learning English from L2 learners’ points of view. A mixed methods research approach was adopted with a sequential exploratory design, followed by an endorsement phase. Eighteen high school students in Fars province (Iran) were interviewed on the sources of negative attitudes towards learning English. Based on...

2011
Surapati Pramanik Partha Pratim Dey Bibhas C. Giri

This paper deals with fuzzy goal programming approach to quadratic bi-level multi-objective programming problem involving a single decision maker with multiple objectives at the upper level and a single decision maker with multiple objectives at the lower level. The objective functions of each level decision maker are quadratic in nature and the system constraints are linear functions. In the m...

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