network shown in the figure below as a highway map‚ and the number recorded next to each arc as the travel time for each arc. A traveler plans to drive from node 1 to node 12 on this highway. Find the best path for this traveler using Dijkstra’s algorithm. [pic] Node d(j) pred (j) 1 0 0 2 1 1 3 10 2 4 4 1 5 5 2 6 12 5 7 10
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Duality in 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
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oriented programming. Later I made another wonderful game like hangman which I develop for my younger brother to help him improving his English vocabulary. During the second year I was familiarize with varieties courses like Data Structures‚ Algorithm‚ Discrete Mathematics and Digital
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Introduction The concept of mind is so difficult to define that over the centuries scholars have sought its representation using an array of objects‚ usually the latest technological tools.[1][2][3] This mode of scientific discovery is known as the tools-to-theories heuristic; when the current tools used by science are incorporated into a theory and accepted due to widespread use of said tool.[2] Currently‚ the most universally applicable tool in all the sciences is undoubtedly the computer‚
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genetic algorithm approach Thomas S. Gruca a a‚1 ‚ Bruce R. Klemz b‚* Department of Marketing‚ University of Iowa‚ W376 Pappajohn Business Building‚ Iowa City‚ IA 52242-1000‚ USA b Department of Marketing‚ Winona State University‚ 101 Somsen‚ Winona‚ MN 55987‚ USA Received 23 March 1999; accepted 24 October 2001 Abstract Identifying an optimal positioning strategy for new products is a critical and difficult strategic decision. In this research‚ we develop a genetic algorithm based
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While my undergraduate study I took part in some republican and international Conferences of IT projects with my groupmate and Multimedia Technologies course teacher. We made our own interactive board by materials at hand. I write mathematical algorithm for calibration and implement it into software of interactive board. Our project won prizes like “The most feasible project” and “The best multimedia technologies project”. Concerning my work experience‚ after I was graduated the institute
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Optimization Processes Network Optimization process involves the following activities: • FIRST SET THE CRITERION (GOAL) OF OPTIMIZATION PROCESS o BASELINE & TARGET KPI’s. o DELIVERABLES • • • • • CONDUCTING A BASELINE PHYSICAL AUDIT REMOVING ALL SERVICE AFFECTING ALARMS IDENTIFYING POOR COVERAGE AREAS IDENTIFYING CAPACITY CONSTRAINTS & OVERUTILIZED CELLS VARIOUS KPIs with Root-Cause-Analysis of problems. o o Frequency Plan (BCCH & TCH) Neighbor plan • • CONDUCTING A GSM SYSTEM
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Table of Conten 1. INTRODUCTION1 2. Formulate the Problem1 2.1 CHOOSE DECISION VARIABLES1 2.2 FORMULATE THE OBJECTIVE FUNCTION1 2.3 FORMULATE CONSTRAINTS2 3. SOFTWARE2 3.1 MICROSOFT OFFICE EXCEL2 3.1.1 EXCEL DATA INPUT AND SOLVE THE PROBLEM2 3.1.2 ANSWER ANALYSIS3 3.1.3 SENSITIVITY ANALYSIS4 3.2 XPRESS-IVE ANALYSIS6 4. CONCLUSION6 APPENDIX Operational Research Methods Report 1. Introduction Linear programming (LP) model is a significant and popular used model of operational
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The development of linear programming has been ranked among the most important scientific advances of the mid 20th century. Its impact since the 1950’s has been extraordinary. Today it is a standard tool used by some companies (around 56%) of even moderate size. Linear programming uses a mathematical model to describe the problem of concern. Linear programming involves the planning of activities to obtain an optimal result‚ i.e.‚ a result that reaches the specified goal best (according to the mathematical
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Week 1 Lab TCO 1: Given a simple problem‚ design and desk-check a solution that is expressed in terms of pseudocode‚ flowchart‚ and/or input-process-output (IPO) diagrams. Lab This exercise will cover the steps used to create a solution. You will use variable lists‚ IPO charts‚ pseudocode‚ flowcharts‚ and desk-checking. Rubric Point distribution for this activity: Lab Activity Document Points possible Points received Part 1 10 Part 2 10 Part 3 10 Part 4 10
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