Computer programming (often shortened to programming) is a process that leads from an original formulation of a computing problem to executable programs. It involves activities such as analysis‚ understanding‚ thinking‚ and generically solving such problems resulting in an algorithm‚ verification of requirements of the algorithm including its correctness and its resource consumption‚ implementation (commonly referred to as coding[1][2]) of the algorithm in a target programming language. Source code is
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Linear Programming 4 In the preceding chapter on sensitivity analysis‚ we saw that the shadow-price interpretation of the optimal simplex multipliers is a very useful concept. First‚ these shadow prices give us directly the marginal worth of an additional unit of any of the resources. Second‚ when an activity is ‘‘priced out’’ using these shadow prices‚ the opportunity cost of allocating resources to that activity relative to other activities is determined. Duality in linear programming is essentially
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Pfizenmaier‚ Marcy Hammel‚ Alex Benson The Ancient Chinese made many important inventions. One of the important inventions is Chinese paper. Another great invention is movable-type printing. Gunpowder is another great invention that we still use today. Nobody will ever lose their directions with the invention of the Chinese compass. The Ancient Chinese also made porcelain and steel smelting. Chinese silk is used for clothing and is very important. The Ancient Chinese invented many great inventions for their
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Market Efficiency Extended Essay In this extended essay I will address a number of key issues in relation to market efficiency. I will define market efficiency and describe the three different forms of market efficiency which consist of; weak-form efficiency‚ semi-strong form and strong-form efficiency. I will also outline the characteristics of market efficiency. I will then define what a mutual fund is and compare and contrast an open-ended
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Why is Technology Important in K-12 Education? Marlene Segal It seems odd to me to write a paper about the importance of technology in education. While there may still be skeptics within the field of education‚ I would imagine that most people would agree that a technology rich environment enhances a child’s education at least to some degree. Even teachers who are reluctant to infuse technology into their lesson plans would have to see the merit of students using technology consistently
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LINEAR PROGRAMMING DATE; 5 JUNE‚ 14 UNIVERSITY OF CENTRAL PUNJAB INTRODUCTION TO LINEAR PROGRAMMING Linear programming (LP; also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. Linear programming is a special case of mathematical programming. It is a mathematical
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MARKET EFFICIENCY. Introduction. What is an "efficient" market? Can you say that the stock market in Zimbabwe is efficient?. Definitely our stock market is very small relative to others. For example‚ the ZSE carries only 75 counters‚ whereas the Johannesberg Stock Exchange (JSE) has more than five thousand firms‚ yet by world standards‚ even the JSE is still regarded as an "emerging market". So you can see that there are very few players on our ZSE‚ thus very little competition among the investors
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Linear Programming History of linear programming goes back as far as 1940s. Main motivation for the need of linear programming goes back to the war time when they needed ways to solve many complex planning problems. The simplex method which is used to solve linear programming was developed by George B. Dantzig‚ in 1947. Dantzig‚ was one in who did a lot of work on linear programming‚ he was reconzied by several honours. Dantzig’s discovery was through his personal contribution‚ during WWII when Dantzig
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Object-Oriented Programming Paradigm By Daniel C. Williams MCIS 611 Instructor: Dr. Frank J. Mitropoulos Research Report Graduate School of Computer and Information Sciences Nova Southeastern University April 25‚ 2010 Table of Contents Abstract 3 Introduction 4 Review of Literature 5 Data and Analysis 7 Data Qualities 7 Object-Oriented Programming Languages 9 Eiffel 9 Smalltalk 10 Ruby 10 Java 11 C++ 12 Featured Components 13 Encapsulation 13 Polymorphism
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