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Fundamentals of Digital Computing Vishesh Shrivastava (4) Electronics and Communication Technology Vishesh Shrivastava (5) Introduction to C++ Programming Sanjeela Sagar BSc IT SECOND YEAR: SEM III (New Syllabus) (1) Logic and Discrete Mathematics S. R. Rege: Latika Bonde (2) Computer Graphics Ravindra Sangle (3) Advanced SQL Sanjeela Sagar (4) Object Oriented Programming with C++ Sanjeela Sagar (5) Modern Operating Systems Jayalakshmi Srinivas: R. Kamatchi BSc IT SECOND YEAR: SEM IV (New Syllabus) (1)
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C# Programming C# Programming 1 Table of Contents 1. Strings‚ Exceptions‚ and Events The String Class Arrays Collections Overview of Exception Handling Throwing and Catching Exceptions .NET Framework Class Library Exceptions Creating Your Own Exceptions Events 2. Introduction to Windows Forms Introduction What Is a Form? Creating a Windows Form in a Text Editor Creating a Form in Visual Studio .NET The Windows Forms Designer Forms Form Properties Form Events Using Visual
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Web Calculator Exercise 1 Descriptive Statistics 1. The table below presents data for a sample of people who completed a religious survey. |Age |Gender |Denomination |Church Attendance | |56 |1 |7 |4 | |46 |2 |6 |5 | |49 |2 |6 |5 | |49 |1 |1
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Mathematical Programming: An Overview 1 Management science is characterized by a scientific approach to managerial decision making. It attempts to apply mathematical methods and the capabilities of modern computers to the difficult and unstructured problems confronting modern managers. It is a young and novel discipline. Although its roots can be traced back to problems posed by early civilizations‚ it was not until World War II that it became identified as a respectable and well defined body of
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R for Programmers Norman Matloff University of California‚ Davis c 2007-8‚ N. Matloff December 4‚ 2008 IMPORTANT NOTICE: This document is no longer being maintained. My book on R programming‚ The Art of R Programming‚ is due out in August 2011. You are welcome to use an early draft at http://heather.cs.ucdavis.edu/˜matloff/132/NSPpart.pdf; it was about 50% complete and contains bugs‚ but should be useful. Licensing: This work‚ dated December 4‚ 2008‚ is licensed under a Creative Commons Attribution-No
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HOW TO USE A SCIENTIFIC CALCULATOR How to use a Scientific Calculator: entering expression‚ angle measure‚ number formats‚ arithmetic operators‚ positive numbers‚ negative numbers‚ scientific notation‚ parentheses‚ chemical formulae‚ physical constants. Entering expression Type your expression directly onto the input line or copy and paste an expression from another programs. When you finish entering your expression‚ pres ENTER or click [=] button. Spaces are irrelevant‚ for example 54 + 3*2
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Currently‚ Whiz Calculator is estimating the budget for the coming year’s selling expenses as if it is comprised of only fixed expenses. President Riesman finds this method unsatisfactory for two major reasons: 1. It is difficult to judge how good the estimates made by the department heads really are; and 2. Selling conditions fluctuate over time and there is no way to account for these changes in the selling expenses once the budget is set for that year. Thus a new budgeting method is being researched
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GENETIC PROGRAMMING: AN INTRODUCTION AND SURVEY OF APPLICATIONS M.J. Willis*‚ H.G Hiden*‚ P. Marenbach+‚ B. McKay* and G.A. Montague* * Symbolic Optimisation Research Group (SORG) Dept. of Chemical and Process Engineering University of Newcastle upon Tyne NE1 7RU‚ UK + Institute of Control Engineering Darmstadt University of Technology Landgraf-Georg-Strasse 4 D-64283 Darmstadt‚ Germany {Mark.Willis‚ H.G.Hiden‚ Ben.McKay‚ Gary.Montague} @ncl.ac.uk http://lorien.ncl.ac.uk/sorg mali@rt.e-technik
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Z00_REND1011_11_SE_MOD7 PP2.QXD 2/21/11 12:39 PM Page 1 7 MODULE Linear Programming: The Simplex Method LEARNING OBJECTIVES After completing this chapter‚ students will be able to: 1. Convert LP constraints to equalities with slack‚ surplus‚ and artificial variables. 2. Set up and solve LP problems with simplex tableaus. 3. Interpret the meaning of every number in a simplex tableau. 4. Recognize special cases such as infeasibility‚ unboundedness and degeneracy. 5
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