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In this paper, we are going to discuss the logistic model of predicting the population and its historical applications on the size of US population. Population of the United States is the total number of people living in the United States with US citizenship. Population projection is the estimation of the future size of the population. Section II will mention the official source and relating background about the size of US population. Section III will address why population projection is important. Section IV will briefly go over exponential population model which had great influence on the invention of logistic population model. Section V will focus on logistic model and its derivations. Section VI will discuss some historical application of logistic model. Section VII includes citations.
  
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I, and I assume other students, often find learning experience enhanced when the context of the study, i.e. origin and the application, clearly visible. (e.g. Students like psychology class - it's about themselves) And it is with this intent of identifying the context of [http://en.wikipedia.org/wiki/Linear_algebra linear algebra] I sought to compile articles and notes for the project.
 
  
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I set forth to identify an individual responsible for the invention of linear algebra, a progenitor of the principles of linear algebra as Newton was to Calculus [http://en.wikipedia.org/wiki/Leibniz_and_Newton_calculus_controversy (or was he?)]. I no longer think of doing so. Theorems and rules are attributed to single/group of mathematicians; linear algebra, I think, cannot. Rather, linear algebra appears to be a fundamental faculty in mathematics, and as I lend Professor Uli's words, "Linear algebra to mathematician is what addition and multiplication is to non-mathematicians." Perhaps as one cannot find a sole author of a particular language, one cannot find one for linear algebra. Rather, I will compile brief biography of intriguing mathematicians who may have had some say in advances in linear algebra, though I worry t
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[[ Walther MA279 Fall2018 topic10|Back to Walther MA279 Fall2018 topic10]]
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In the search for application, few application matrix theory are readily noted, including its use in the Google's PageRank algorithm and alternate representation of geometry/graphs, but I'm rather unsatisfied with such selections since I also see them as general application of mathematics. What I mean by the previous statement is that I use the term linear algebra and mathematics indiscriminately because I do not understand both well.
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In adolescence, I hated life and was continually on the verge of suicide, from which, however, I was restrained by the desire to know more mathematics.
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Latest revision as of 15:53, 2 December 2018

Introduction

In this paper, we are going to discuss the logistic model of predicting the population and its historical applications on the size of US population. Population of the United States is the total number of people living in the United States with US citizenship. Population projection is the estimation of the future size of the population. Section II will mention the official source and relating background about the size of US population. Section III will address why population projection is important. Section IV will briefly go over exponential population model which had great influence on the invention of logistic population model. Section V will focus on logistic model and its derivations. Section VI will discuss some historical application of logistic model. Section VII includes citations.


Back to Walther MA279 Fall2018 topic10

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Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

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