re Programming Languages Submitted To: Madam Amna Naveed Submitted By: The Programmers COMSATS – Lancaster Dual Degree Programme COMSATS Institute of Information Technology Lahore PROGRAMMING LANGUAGES SUBMITTED TO: Madam Amna Naveed Lecturer Department of Humanities & Social Sciences COMSATS‚ Lahore SUBMITTED BY: Sana Naheed Mohammad Nawal Shaukat Syed Usama Nasir Hafiz Abdul Shakoor ddp-fa12-bse-115 ddp-fa12-bse-103 ddp-fa12-bse-130 ddp-fa12-bse-034 Date: April 18‚ 2013
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1. When working with programming languages‚ what is meant by “syntax”? Give one or more examples. A syntax is a symbolic representation illustrating form and structure. Syntax in the form of text is completed through a series of characters. In a graphical environment‚ a syntax is illustrated in the form of symbols. An example of a graphical syntax is the symbol of a speaker is a representation of volume or sound. An example of a text syntax is the paragraph mark in a Word document.
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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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Architectural Programming Introduction Architectural programming began when architecture began. Structures have always been based on programs: decisions were made‚ something was designed‚ built and occupied. In a way‚ archaeologists excavate buildings to try to determine their programs. Today‚ we define architectural programming as the research and decision-making process that identifies the scope of work to be designed. Synonyms include "facility programming‚" "functional and operational requirements
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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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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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Research 153 (2004) 117–135 www.elsevier.com/locate/dsw An integer programming formulation for a case study in university timetabling S. Daskalaki b a‚* ‚ T. Birbas b‚ E. Housos b a Department of Engineering Sciences‚ University of Patras‚ GR-26500 Rio Patras‚ Greece Department of Electrical and Computer Engineering‚ University of Patras‚ GR-26500 Rio Patras‚ Greece Abstract A novel 0–1 integer programming formulation of the university timetabling problem is presented. The model
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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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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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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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