Building Mathematical Models In Excel

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Building Mathematical Models In Excel

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Author : Christopher Teh Boon Sung
language : en
Publisher: Universal-Publishers
Release Date : 2015-05-18

Building Mathematical Models In Excel written by Christopher Teh Boon Sung and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-18 with Technology & Engineering categories.

This book is for agriculturists, many of whom are either novices or non-computer programmers, about how they can build their mathematical models in Microsoft Excel. Of all modeling platforms, spreadsheets like Excel require the least proficiency in computer programming. This book introduces an Excel add-in called BuildIt (available for free as download) that shields users from having to use Excel's VBA (Visual Basic for Applications) programming language and yet allows agriculturists to build simple to large complex models without having to learn complicated computer programming techniques or to use sophisticated Excel techniques. This book first discusses how BuildIt works and how it is used to build models. Examples range from the simple to progressively more complex mathematical models. Ultimately, readers are taught how to build a generic crop growth model from its five core components: meteorology, canopy photosynthesis, energy balance, soil water, and crop growth development. Ultimately, agriculturists will be able to build their own mathematical models in Excel and concentrate more on the science and mathematics of their modeling work rather than being distracted by the intricacies of computer programming.

Mathematical Modeling With Excel

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Author : Brian Albright
language : en
Publisher: CRC Press
Release Date : 2019-11-25

Mathematical Modeling With Excel written by Brian Albright and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Business & Economics categories.

This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some new types. However, the models are presented in a very unique format. A typical section begins with a general description of the scenario being modeled. The model is then built using the appropriate mathematical tools. Then it is implemented and analyzed in Excel via step-by-step instructions. In the exercises, we ask students to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.

Mathematical Models For Decision Making With Multiple Perspectives

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Author : Maria Isabel Gomes
language : en
Publisher: CRC Press
Release Date : 2022-08-04

Mathematical Models For Decision Making With Multiple Perspectives written by Maria Isabel Gomes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Mathematics categories.

This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately. Both fields have in common the presence of multiple perspectives of looking at and evaluating decisions to be taken but they differ in the number of available alternatives. Multicriteria approaches deal with decision processes where a finite number of alternatives have to be evaluated while, in multiobjective optimization, this number is infinite and the space of alternatives continuous. This book is written for students of applied mathematics, engineering, and economics and management, with no assumed previous knowledge on the subject, as well as for practitioners in industry looking for techniques to support decision making. The mathematical formalism is very low, so that all materials are accessible to most readers. Nonetheless, a rich bibliography allows interested readers to access more technical literature. The textbook is organized in eleven chapters, each corresponding to a class of about two hours. A comprehensive set of examples is presented, allowing for a didactic approach when presenting the methodologies. Each chapter ends with exercises that are designed to develop problem-solving skills and to promote concepts retention.

Using Applied Mathematical Models For Business Transformation

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Author : Trad, Antoine
language : en
Publisher: IGI Global
Release Date : 2019-12-20

Using Applied Mathematical Models For Business Transformation written by Trad, Antoine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-20 with Business & Economics categories.

Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.

Mathematical Modeling For Business Analytics

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Author : William P. Fox
language : en
Publisher: CRC Press
Release Date : 2017-12-15

Mathematical Modeling For Business Analytics written by William P. Fox and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Business & Economics categories.

Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis. The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book. Boasts many illustrative examples to help solve problems Provides many solutions for each chapter Emphasizes model formulation and helps create model building skills for decision analysis Provides the tools to support analysis and interpretation

Million Dollar Data Building Confidence Vol 1

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Author : Stephen DeMeo
language : en
Publisher: Educe NY
Release Date : 2020-07-31

Million Dollar Data Building Confidence Vol 1 written by Stephen DeMeo and has been published by Educe NY this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Education categories.

Global warming, our current and greatest challenge, is without precedent. Among the many consequences that are impacting our society, one unanticipated concern involves scientific truth. When the President of the United States, and others in his administration, declare that global warming is fake science, it calls into question what real science is and what real school science should be. I will argue that real science is quality science, one that is based on the rigorous collection of reliable and valid data. To collect quality data requires bending over backwards to get things right, and this is exactly what makes science so special. Truth is made when scientists go this extra yard and devise controlled experiments, collect large data sets, confirm the data, and rationally analyze their results. Making scientific truth sounds difficult to do in the science laboratory, but in reality, there are many straightforward ways that truth can be constructed. In the first of two volumes, I discuss twelve such ways – I call them Confidence Indicators – that can allow students to strongly believe in their data and their subsequent results. Many of these methods are intuitive and can be used by young students on the late elementary level all the way up to those taking introductory college science courses. As in life, science is not without doubt. In the second volume I introduce the concept of scientific uncertainty and the indicators used to calculate its magnitude. I will show that science is about connecting confidence with uncertainty in a specific manner, what I refer to as the Confidence-Uncertainty Continuum expression. This important relationship epitomizes the scientific enterprise as a search for probabilistic rather than absolute truth. This two-volume set will contain a variety of ways that data quality can be instituted into a science curriculum. To support its use, many of the examples that I will present involve science teachers as well as student work and feedback from different grade levels and in different scientific disciplines. Specific chapters will be devoted to reviewing the academic literature on data quality as well as describing my own personal research on this important but often neglected topic.

Principles Of Financial Modelling

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Author : Michael Rees
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-19

Principles Of Financial Modelling written by Michael Rees and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Business & Economics categories.

The comprehensive, broadly-applicable, real-world guide to financial modelling Principles of Financial Modelling – Model Design and Best Practices Using Excel and VBAcovers the full spectrum of financial modelling tools and techniques in order to provide practical skills that are grounded in real-world applications. Based on rigorously-tested materials created for consulting projects and for training courses, this book demonstrates how to plan, design and build financial models that are flexible, robust, transparent, and highly applicable to a wide range of planning, forecasting and decision-support contexts. This book integrates theory and practice to provide a high-value resource for anyone wanting to gain a practical understanding of this complex and nuanced topic. Highlights of its content include extensive coverage of: Model design and best practices, including the optimisation of data structures and layout, maximising transparency, balancing complexity with flexibility, dealing with circularity, model audit and error-checking Sensitivity and scenario analysis, simulation, and optimisation Data manipulation and analysis The use and choice of Excel functions and functionality, including advanced functions and those from all categories, as well as of VBA and its key areas of application within financial modelling The companion website provides approximately 235 Excel files (screen-clips of most of which are shown in the text), which demonstrate key principles in modelling, as well as providing many examples of the use of Excel functions and VBA macros. These facilitate learning and have a strong emphasis on practical solutions and direct real-world application. For practical instruction, robust technique and clear presentation, Principles of Financial Modelling is the premier guide to real-world financial modelling from the ground up. It provides clear instruction applicable across sectors, settings and countries, and is presented in a well-structured and highly-developed format that is accessible to people with different backgrounds.

Mathematical Modelling In Education And Culture

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Author : Q-X Ye
language : en
Publisher: Elsevier
Release Date : 2003-05-01

Mathematical Modelling In Education And Culture written by Q-X Ye and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-01 with Mathematics categories.

The mathematical modelling movement in mathematics education at school and university level has been influencing curricula for about 25 years. Lecturers will find material to enhance their teaching and extracurricular activities and educators will find innovative ideas to inform their course design and focus their research, while students will find interesting problems to explore. - Helps lecturers enhance their teaching and extracurricular activities - Provides educators with innovative ideas to inform their course design and focus their research - Students will find interesting problems to explore

Capacity Building For It In Education In Developing Countries

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Author : Gail Marshall
language : en
Publisher: Springer
Release Date : 2013-03-14

Capacity Building For It In Education In Developing Countries written by Gail Marshall and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.

Deryn Watson CapBIT 97, Capacity Building for Information Technologies in Education in Developing Countries, from which this publication derives, was an invited IFIP working conference sponsored by Working Groups in secondary (WG 3. 1), elementary (WG 3. 5), and vocational and professional (WG 3. 4) education under the auspices ofIFIP Technical Committee for Education (TC3). The conference was held in Harare, Zimbabwe 25th - 29th August 1997. CapBIT '97 was the first time that the IFIP Technical Committee for Education had held a conference in a developing country. When the Computer Society of Zimbabwe offered to host the event, we determined that the location and conference topic reflect the importance of issues facing countries at all stages of developmen- especially Information Technologies (IT) development. Information Technologies have become, within a short time, one of the basic building blocks of modem industrial society. Understanding IT, and mastering basic skills and concepts of IT, are now regarded as part of the core education of all people around the world, alongside reading and writing. IT now permeates the business environment and underpins the success of modem corporations as well as providing government with cost-effective civil service systems. At the same time, the tools and technologies of IT are of value in the process of learning, and in the organisation and management of learning institutions.

Optimization Modeling With Spreadsheets

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Author : Kenneth R. Baker
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-15

Optimization Modeling With Spreadsheets written by Kenneth R. Baker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-15 with Business & Economics categories.

An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis. By emphasizing both spreadsheet modeling and optimization tools in the freely available Microsoft® Office Excel® Solver, the book illustrates how to find solutions to real-world optimization problems without needing additional specialized software. The Third Edition includes many practical applications of optimization models as well as a systematic framework that illuminates the common structures found in many successful models. With focused coverage on linear programming, nonlinear programming, integer programming, and heuristic programming, Optimization Modeling with Spreadsheets, Third Edition features: An emphasis on model building using Excel Solver as well as appendices with additional instructions on more advanced packages such as Analytic Solver Platform and OpenSolver Additional space devoted to formulation principles and model building as opposed to algorithms New end-of-chapter homework exercises specifically for novice model builders Presentation of the Sensitivity Toolkit for sensitivity analysis with Excel Solver Classification of problem types to help readers see the broader possibilities for application Specific chapters devoted to network models and data envelopment analysis A companion website with interactive spreadsheets and supplementary homework exercises for additional practice Optimization Modeling with Spreadsheets, Third Edition is an excellent textbook for upper-undergraduate and graduate-level courses that include deterministic models, optimization, spreadsheet modeling, quantitative methods, engineering management, engineering modeling, operations research, and management science. The book is an ideal reference for readers wishing to advance their knowledge of Excel and modeling and is also a useful guide for MBA students and modeling practitioners in business and non-profit sectors interested in spreadsheet optimization.