In this paper we propose an adaptation of the ∞-Poisson equation on weighted graphs, and propose a finer expression of the ∞-Laplace operator with gradient terms on weighted graphs, by making the link with the biased version of the tug-of-war game. By using this formulation, we propose a hybrid ∞-Poisson Hamilton-Jacobi equation, and we show the link between this version of the ∞-Poisson equation and the adaptation of the eikonal equation on weighted graphs. Our motivation is to use this extension to compute distances on any discrete data that can be represented as a weighted graph. Through experiments and illustrations, we show that this formulation can be used in the resolution of many applications in image, 3D point clouds, and high dimensional data processing using a single framework.
The main purpose of this research is to investigate the size and the relationship between smuggling and crime indexes such as returned checks, corruption and drinking alcohol in Iran during the period 1984–2015 by using Multiple Indicators Multiple Causes (MIMIC) model and Maximum Likelihood Estimation (MLE) method. The results showed that among the crime indexes, divorce, drinking alcohol and corruption were positively correlated with smuggling, while another crime index, returned checks had a negative relationship with smuggling. Besides, all socio-economic cause variables on smuggling, including tariffs, misery index, illiteracy, gap of exchange rate, economic openness index and the size of government were found to increase smuggling. Furthermore, the findings showed that the cause variables on smuggling, including liquidity and energy consumption were positively correlated with smuggling.
<p>Soot formation from combustion devices is a health and environmental concern. Therefore, a comprehensive understanding of soot is a necessity; however, due to its complexity, it is poorly understood, especially with high-pressure combustion. In this thesis, a detailed numerical soot formation code, CoFlame, has been successfully utilized to model varying-pressure coflow laminar diffusion flames. The results of this thesis are divided into two sections; first, an investigation of the impact of a novel pressure-based reaction rate of acetylene addition in the Hydrogen- Abstraction-Carbon-Addition (HACA) mechanism on soot formation in varying pressure flames is addressed in chapter 4. Second, an assessment of the influence of pressure on the formation of recirculation zones along the centerline of the flame and the subsequent effect of the flow field on soot formation in elevated-pressure coflow diffusion flames is addressed in chapter 5.</p> <p><br></p>
The main purpose of this research is to investigate the size and the relationship between smuggling and crime indexes such as returned checks, corruption and drinking alcohol in Iran during the period 1984-2015 by using Multiple Indicators Multiple Causes (MIMIC) model and Maximum Likelihood Estimation (MLE) method. The results showed that among the crime indexes, divorce, drinking alcohol and corruption were positively correlated with smuggling, while another crime index, returned checks had a negative relationship with smuggling. Besides, all socioeconomic cause variables on smuggling, including tariffs, misery index, illiteracy, gap of exchange rate, economic openness index and the size of government were found to increase smuggling. Furthermore, the findings showed that the cause variables on smuggling, including liquidity and energy consumption were positively correlated with smuggling.
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