OPTIMIZATION MODELING WITH SPREADSHEETS

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Optimization Modeling With Spreadsheets

Author : Kenneth R. Baker
ISBN : 9781118937693
Genre : Business & Economics
File Size : 70.54 MB
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Updated with Microsoft® Office Excel®'s freely available Solver throughout, this Third Edition successfully bridges the gap between the theory and applications of model building for optimization analysis. Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Third Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets for analysis. Developed to equip readers with the skills needed to apply optimization tools effectively without the need to rely on specialized algorithms. This introductory book on optimization (mathematical programming) includes coverage on linear programming, nonlinear programming, integer programming, and heuristic programming, with an emphasis on model building using Excel's freely available Solver. The focus on model building (rather than algorithms) and on spreadsheets makes this book distinctive in this area.
Category: Business & Economics

Pyomo Optimization Modeling In Python

Author : William E. Hart
ISBN : 9781461432265
Genre : Mathematics
File Size : 26.49 MB
Format : PDF
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This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are supported by the software and support of complex real-world applications. Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from data sources like spreadsheets and databases. Chapters describing advanced modeling capabilities for nonlinear and stochastic optimization are also included. The Pyomo software provides familiar modeling features within Python, a powerful dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. The software supports a different modeling approach than commercial AML (Algebraic Modeling Languages) tools, and is designed for flexibility, extensibility, portability, and maintainability but also maintains the central ideas in modern AMLs.
Category: Mathematics

The Art Of Modeling With Spreadsheets

Author : Stephen G. Powell
ISBN : 0471209376
Genre : Business & Economics
File Size : 34.41 MB
Format : PDF, ePub, Mobi
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Develop state-of-the-art modeling skills Successful business modeling is much more than a technical discipline; it’s an art. And as in most professional disciplines, you can tell the experts apart from the novices by the creativity they bring to the craft. Now with Steve Powell and Ken Baker’s The Art of Modeling with Spreadsheets, you can master the technical knowledge as well as those essential craft skills needed to develop real expertise in business modeling. You’ll learn: Effective methods for designing, building, and testing models, and for performing model-based analyses; Non-technical, craft skills that expert modelers commonly employ, such as abstracting a situation, debugging a model, and translating model results into managerial insights; and Standard statistical and management science techniques used in business today, such as data analysis, simulation, and optimization. Get the tools of the trade! The CD-ROM packaged wit h t his text features all of the spreadsheets referred to in the text, as well as three software tools of special importance to business analysts: Premium Solver Crystal Ball Sensitivity Toolkit (featuring four sensitivity tools)
Category: Business & Economics

Modeling Languages In Mathematical Optimization

Author : Josef Kallrath
ISBN : 9781461302155
Genre : Mathematics
File Size : 90.75 MB
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This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems.
Category: Mathematics

Data Analysis Optimization And Simulation Modeling

Author : S. Christian Albright
ISBN : 0538476761
Genre : Decision making
File Size : 69.87 MB
Format : PDF, Mobi
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DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.
Category: Decision making

Statistics Data Analysis And Decision Modeling

Author : James Robert Evans
ISBN : 0130675539
Genre : Industrial management
File Size : 23.34 MB
Format : PDF, Kindle
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This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.
Category: Industrial management

Spreadsheet Modeling And Decision Analysis A Practical Introduction To Business Analytics

Author : Cliff Ragsdale
ISBN : 9781285969701
Genre : Business & Economics
File Size : 82.20 MB
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SPREADSHEET MODELING AND DECISION ANALYSIS, Seventh Edition, provides instruction in the most commonly used management science techniques and shows how these tools can be implemented using Microsoft Office Excel 2013. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Category: Business & Economics

Mathematical Modeling With Excel

Author : Brian Albright
ISBN : 9781449635992
Genre : Mathematics
File Size : 49.75 MB
Format : PDF, Kindle
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Mathematical modeling is the use of applying mathematics to real-world problems and investigating important questions about their outcomes. Mathematical Modeling with Excel presents various methods used to build and analyze mathematical models in a format that students can quickly comprehend. Excel is used as a tool to accomplish this goal of building and analyzing the models. Ideal for math and secondary math education majors, this text presents a wide variety of common types of models, as well as some new types, and presents each in a unique, easy-to-understand format. End-of-chapter exercises ask students to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.
Category: Mathematics

Probabilistic Design For Optimization And Robustness For Engineers

Author : Bryan Dodson
ISBN : 9781118796306
Genre : Mathematics
File Size : 54.77 MB
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Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.
Category: Mathematics

Visualization And Optimization

Author : Christopher V. Jones
ISBN : 0792396723
Genre : Business & Economics
File Size : 53.88 MB
Format : PDF, ePub
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This book examines ongoing research and practice in using visualization to represent optimization models, explore optimum solutions, and summarize the results of the optimization effort. As research in optimization develops more powerful algorithms capable of analyzing ever more complicated problems, an increasing number of excellent books have been written to explain how to construct optimization models and how to build algorithms to analyze these models. However, solving problems using optimization techniques involves more than just developing newer, faster algorithms. Building, debugging, validating and understanding models and algorithms requires appropriate representations. This book describes how scientific visualization can enhance the representations needed for optimization. Although books on visualization exist, none of them have specifically addressed how visualization can contribute to optimization practice and research. In this book, relevant techniques of computer graphics, virtual reality, sonification, among others, are examined and specifically targeted to optimization. Moreover, applications of optimization to visualization are also explored.
Category: Business & Economics