Linear programming

Where\\ \textit{A} denotes attenuation of the incident light,\\ \textit{$\alpha $} denotes the wavelength of the incident light,\\ \textit{C} denotes the concentration of the absorber,\\ \textit{d} denotes the geometrical pathlength,\\ \textit{B} denotes the pathlength correction factor and\\ \textit{G} is the additive term for scattering losses \begin{minipage}{\columnwidth} \centering \includegraphics [width=0.75\textwidth] {figures/mbl.png} \captionof{figure}{The modified Beer-Lambert law…

In this work, we assume two different potentials for the initial and final heavy quarkonia and the intermediary hybrid states. The most popular potential form for the study of heavy quarkonia is the Cornell potential [11] V(r)= -κ/r + b r (2.13) Usually many authors prefer α_s (r) instead of κ. The relation between them is κ=(4α_s (r))/3 and α_s (r) can treated as constant for bb ̅ and cc ̅…

Lab 1: Fluctuating Stresses Jinyuan Zhang Due Date: Wednesday, October 14, 2015 Lab Section: 5 Objectives: There are three objectives for this lab. The first objective is applying stresses calculation on a bicycle crank shaft with real-world load. Second objective is visualization of stresses’ fluctuate in process of fatigue failure analysis. The last objective is using the stresses model to find the force is applied on the crank shaft. Sample Calculation: For collecting the…

\begin{abstract} It is known that Groebner bases is EXP-SPACE in general. We show that this remains true over Boolean rings. \end{abstract} \section{Boolean Rings} Let $\mathbb{F}_2 = \mathbb{Z}/(2)$. Let $R_n = \mathbb{F}_2[x_1,\ldots,x_n, y_1,\ldots,y_n, z_1,\ldots,z_n]$ and % \footnote{Over $\mathbb{F}_2$, $+$ is the same as $-$.} \[ S_n := \{c^2 -c \,\, | \,\, c \in \{x_1,\ldots,x_n, y_1,\ldots,y_n, z_1,\ldots,z_n\} \}. \] Let \[ R_n^{\rm b} := R_n / (S_n). \] This is {\em Boolean ring},…

The solution of the Frank and Doris race problem looked to be simple at first. Although Doris speed began faster, Frank gained speed and passed her and thus seemed to be the winner of the race. After looking more closely at the problem I discovered this was not quite the case. I first sketched Frank and Doris given values onto the one Velocity-Time graph. Originally looking at this graph, it looks as if Frank passes Doris at 10 seconds, because that is when his speed becomes greater than Doris’s…

Ever since I was small I have always liked technology. Watching TV, playing video games, and listening to music have always been my favorite things to do. I have seen technology everywhere, on my TV set, my radio, and my video game console. As I grew up, I discovered my passion towards technology, and since then I know what to do in my life. Every time I would damage my computer, broke my phone, or even damage my video games console, my uncle would always fix it. He works with computers and…

Study Guide: Operations Management: refers to the administration of business practices to create the highest level of efficiency possible within an organization. Operations management is concerned with converting materials and labor into goods and services as efficiently as possible to maximize the profit of an organization. In other words, management of systems or processes that creates goods and/or provides services. Strategy: Strategies provide focus for decision making on how overall…

4.2 Multiple Regression A regression model was run to predict the wine rating from different features (fixed.acidity, volatile.acidity, citric.acid, residual.sugar, chlorides, free.sulfur.dioxide, total.sulfur.dioxide, density, pH, sulfates, alcohol) of wine in R. According to the initial analysis on the distributions of the features, many of those features are right-skewed and thus require log transformation. Forward Selection Algorithm was used to find the best predictive models for wine…

concrete, not all of them are valuable since they are in accordance with many trial and errors. As mentioned earlier, three different models of multiple linear regressing (MLR), artificial neural network (ANN), and ANFIS are used to reach the goal in this study. These models are defined comprehensively in the following sections. 3.1. Multiple Linear Regression Model (MLR) Generally, regression models can be considered as the process of fitting models to data. In order to handle the…

The survey instrument created for this study includes relational questions to discover whether one or more working conditions predicts teacher retention and whether the absence of one or more working conditions predicts the likelihood a teacher will leave teaching or migrate to a new building. The survey contains both Likert-type scaled response ratings and demographic questions designed to identify teacher characteristics such as grade level. There are four constructs in this study: academics…