"Optimization" Essays and Research Papers

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Scilab Datasheet Optimization in Scilab Scilab provides a high-level matrix language and allows to define complex mathematical models and to easily connect to existing libraries. That is why optimization is an important and practical topic in Scilab, which provides tools to solve linear and nonlinear optimization problems by a large collection of tools. Overview of the industrial-grade solvers available in Scilab and the type of optimization problems which can be solved by Scilab. Objective...

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Linear Optimization

Introduction Linear optimization is a mathematical method for determining a way to achieve the best outcome such as maximum profit or lowest cost in a given mathematical model for some list of requirements represented as linear relationships. Linear programming is a specific case of mathematical programming The Primary Purpose of the present investigation is to develop an interactive spreadsheet tool to aid in determining a maximum return function in 401K plan. In this paper, we discuss how the...

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Difference Between Simulation and Optimization

whether optimization, simulation, or a hybrid model (combination of optimization and simulation) is a better option to pursue. In this paper, we fundamentally distinguish the two modeling approaches – Supply Chain Optimization vs. Supply Chain Simulation, and the scenarios where the each option should be employed. Overview Optimization focuses on finding the optimal solution from millions of possible alternatives while meeting the given constraints of the supply chain. Optimization utilizes...

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data depth and optimization

Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article, we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth, several closely related notions, associated optimization problems and algorithms. In particular, we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although...

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Mean Variance Optimization

free asset with optimal portfolio of risky asset. Once an efficient portfolio with the desired combination of expected return and variance has been identified, the portfolio constituent weights should be determined. To do so, the mean-variance optimization (MVO) process is used. We have used the Unconstrained MVF that places no constraints on portfolio constituent weights except that the weights sum to 1. Since, Black’s two-fund theorem states that the asset weights of any minimum-variance portfolio...

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Cost Optimization for Workforce Scheduling Iet4405

COST OPTIMIZATION FOR WORKFORCE SCHEDULING An Operations Research Report IET4405 Submitted to Gregory Wiles By Group 3: Amanda Bathe Eminue Eminue Danielle Harmon Theophilus Holley Coltan Palmer Abigale Vining April 24, 2013 EXECUTIVE SUMMARY This report presents a recommendation for a hiring schedule that would allow Davis Instruments to hire temporary employees based on the product demand that varies from month to month for the six months of January to June, at the lowest...

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Operations Research and Operations Management: from Selective Optimization to System Optimization

(Chase, Aquilano, and Jacobs, 2001). 5. Game theory models imbed players in a simulated business environment where decisions at one time (quarter) affect the conditions under which the subsequent decisions are made (Watson, 1981). 6. Network optimization models employ graphical descriptions of problems employing specialized solution procedures which optimize interrelated activities and their completion or flow from start to finish. Applications include areas such as transportation system design...

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Unit 1 Lesson 1: Optimization with Parameters In this lesson we will review optimization in 2-space and the calculus concepts associated with it. Learning Objective: After completing this lesson, you will be able to model problems described in context and use calculus concepts to find associated maxima and minima using those models. You will be able to justify your results using calculus and interpret your results in real-world contexts. We will begin our review with a problem in which most...

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3G capex optimization techniques- capacity planning & delivery process

'Capex Optimization Strategies: Operator Best Practices for Making the Most of 3G Network Capex,' a Telecom Insider Report by Researcher, presents a selection of 17 techniques for managing 3G networks in a capex-efficient way. These techniques have resulted from the application of the MASI, PYR's proprietary framework for analyzing and optimizing capex, to the capex profiles of a wide variety of operators. In this report, we explain each of these capex-effective techniques for managing networks...

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Optimization and Brand

Answers are hi-lighted yellow. Company A's nationally advertised brand is Brand X. Contribution to profit with Brand X is $40 per case. Company A's re-proportioned formula is sold under a private label Brand Y. Contribution to profit with Brand Y is $30 per case. Company A's objective is to maximize the total contribution to profit. Three constraints limit the number of cases of Brand X and Brand Y that can be produced. Constraint 1: The available units of nutrient C (n) is 30. Constraint...

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