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    Programming

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    1 Like · C omment · Share · 4 hours ago v ia mobile · Gna Gna Che a ng shared The Search f or people‚ places and things Library of Lov e 11 people like this. (ប ល័ េស យ )’s photo. Spons oreKhm e r A ngk or d Lay Socheat a Write a comment. . . March 7 v ia mobile Lit t le Fa s hion មនុ ៧ ក◌់ វ ន ស ត ញ់ ប់ ក់ អង្ េល អី ស ឲ គុ យេ ប់ មួ លិ ព ន http:// យ ខិ ត www. khmerload. com/ Code: 0094 Lay Socheat a shared a photo. ws/11779 Sey ne Price 1= $19.00 ម នុ ៧

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    Computer Programming

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    Sum=i+ odd; Hanly‚ Chapter 8‚ Programming (pp. 396-397)‚ number 1 1. #include<stdio.h> Int main <void> Int list{11}; Int n‚ I‚ sum; Double %_of_total; { Printf(“please enter values\n”) Scanf(“%d”‚&n) For(i=0‚i<=n‚++i) Sum=n/10; %_of_total = sum; Printf(“The%d is the %_of_total %d\n”‚ n‚ %_of_total); Return (0); } Hanly‚ Chapter 8‚ Self-Check Exercises (p. 410)‚ numbers 3-4 3.return (int‚ 1= I <=in_use‚ 0= I =in_use); 4.for(i=0‚ i<=data‚ ++i) Hanly‚ Chapter 8‚ Programming (p. 410)‚ numbers 1‚ 3 1. Int

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    Java Programming

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    8 6.2 Arrays (Cont.) • Index – Also called subscript – Position number in square brackets – Must be positive integer or integer expression – First element has index zero a = 5; b = 6; c[ a + b ] += 2; • Adds 2 to c[ 11 ] 9 Common Programming Error 6.1 Using a value of type long as an array index results in a compilation error. An index must be an int value or a value

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    Goal Programming

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    Chapter 3 FORMULATING GOAL PROGRAMMING MODEL..………………………... | 10 | | | 3.1 WHAT IS GOAL PROGRAMMING?………………………………………………. | 10 | 3.2 ASSUMPTIONS………………………………………………….………………….. | 10 | 3.3 COMPONENTS………………………………………..……………………………. | 11 | 3.3.1 GOAL CONSTRAINTS………………………………………………… | 11 | 3.3.2 OBJECTIVE FUNCTION……………………………………………… | 11 | 3.3.3 GOAL PROGRAMMING TERMS……………………………………. | 12 | 3.3.4 GOAL PROGRAMMING CONTRAINTS……………………………. | 12 | 3.4 GOAL PROGRAMMING STEPS…………………………………………………..

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    Programming Solutions

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    Programming Solution Proposal PRG 211 Programming Solution Proposal As Head Coach of the Saint Joseph’s Catholic Prep School Knights basketball team‚ there is a constant need for developing players that have never played before and allowing experienced players the ability to compete to win. The dilemma that these two goals create is the balancing act that must be done in order to ensure both types of players are allowed to grow and develop but at the same time be able to compete for a championship

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    Linear Programming

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    QUANTITATIVE METHODS II Mid-Term Examination Monday‚ October22‚ 2012 Time : 150 minutes Total No. of Pages :17 Name ________________________ Total No. of Questions: 3 Roll No. ________________________ Total marks:35 Section: _______________________ Instructions 1. This is a Closed Book Exam. You are not allowed to carry anything other than stationary and calculator. 2. Answer all questions only in the space provided following the question. 3.

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    Linear Programming

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    TOPIC – LINEAR PROGRAMMING Linear Programming is a mathematical procedure for determining optimal allocation of scarce resources.   Requirements of Linear Programming •        all problems seek to maximize or minimize some quantity •        The presence of restrictions or constraints •        There must be alternative courses of action •        The objective and constraints in linear programming must be expressed in terms of linear equations or inequalities   Objective

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    Socket Programming

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    sockets Socket Programming in C/C++ c Mani Radhakrishnan and Jon Solworth September 24‚ 2004 c Mani Radhakrishnan and Jon Solworth Socket Programming in C/C++ sockets Contact Info Mani Radhakrishnan Office 4224 SEL email mradhakr @ cs . uic . edu Office Hours Tuesday 1 - 4 PM c Mani Radhakrishnan and Jon Solworth Socket Programming in C/C++ sockets TCP UDP Introduction Sockets are a protocol independent method of creating a connection between processes. Sockets

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    Internet Programming

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    Scripting languages 1 Introduction Over the last few years the scripting programming languages made a giant leap ahead. About ten years ago they were viewed as an axillar tools‚ not really suitable for general programming parse. Now they generate a tremendous amount of interest both in academic circles and in the software industry. The execution speed and memory consumption of scripting languages vs. the traditional languages is studied in. Article presents a historical back- ground

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    Programming case

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    LINEAR PROGRAMMING MODEL TO OPTIMIZE THE WATER RESOURCE USE IN IRRIGATION PROJECTS: AN APPLICATION TO THE SENATOR NILO COELHO PROJECT J.A. FRIZZONE1‚4; R.D. COELHO1; D. DOURADO-NETO2‚4; R. SOLIANT3 1 Depto de Engenharia Rural-ESALQ/USP‚ CP. 9‚ CEP: 13418-900 - Piracicaba‚ SP-Brazil Depto. de Agricutura-ESALQ/USP‚ CP. 9‚ CEP: 13418-900 - Piracicaba‚ SP-Brazil Depto de Construção Civil-FEC/UNICAMP‚ CEP: 13083-970 - Campinas‚ SP-Brazil 4 Bolsista do CNPq 2 3 SUMMARY: The main objective

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