Mathematical Modeling Using Microsoft Excel

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Mathematical Modeling Using Microsoft Excel

Author : Nelson L. Emmons, Jr.
Publisher : Unknown
Page : 156 pages
File Size : 48,5 Mb
Release : 1997-06-01
Category : Electronic
ISBN : 1423570057

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Mathematical Modeling Using Microsoft Excel by Nelson L. Emmons, Jr. Pdf

The entry into higher mathematics begins with calculus. Rarely, however, does the calculus student recognize the full power and applications for the mathematical concepts and tools that are taught. Frank R. Giordano, Maurice D. Weir, and William P. Fox produced A First Course in Mathematical Modeling a unique text designed to address this shortcoming and teach the student how to identify, formulate, and interpret the real world in mathematical terms. Mathematical modeling is the application of mathematics to explain or predict real world behavior. Often real world data are collected and used to veriiy or validate (and sometimes formulate) a hypothetical model or scenario. Inevitably, in such situations, it is desirable and necessary to have computational support available to analyze the large amounts of data. Certainly this eliminates the tedious and inefficient hand calculations necessary to validate and apply the model (assuming the calculations can even be reasonably done by hand). The primary purpose of Mathematical Modeling Using Microsoft Excel is to provide instructions and examples for using the spreadsheet program Microsoft Excel to support a wide range of mathematical modeling applications. Microsoft Excel is a powerful spreadsheet program which allows the user to organize numerical data into an easy to follow on-screen grid of columns and rows. Our version of Excel is based on Microsoft Windows. In this text, it is not the intent to teach mathematical modeling, but rather to provide computer support for most of the modeling topics covered in A First Course in Mathematical Modeling. The examples given here are support that text as well.

Mathematical Modeling Using Microsoft Excel

Author : Nelson L. Emmons
Publisher : Unknown
Page : 145 pages
File Size : 41,5 Mb
Release : 1997
Category : Electronic
ISBN : OCLC:1049653557

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Mathematical Modeling Using Microsoft Excel by Nelson L. Emmons Pdf

The entry into higher mathematics begins with calculus. Rarely, however, does the calculus student recognize the full power and applications for the mathematical concepts and tools that are taught. Frank R. Giordano, Maurice D. Weir, and William P. Fox produced A First Course in Mathematical Modeling a unique text designed to address this shortcoming and teach the student how to identify, formulate, and interpret the real world in mathematical terms. Mathematical modeling is the application of mathematics to explain or predict real world behavior. Often real world data are collected and used to veriiy or validate (and sometimes formulate) a hypothetical model or scenario. Inevitably, in such situations, it is desirable and necessary to have computational support available to analyze the large amounts of data. Certainly this eliminates the tedious and inefficient hand calculations necessary to validate and apply the model (assuming the calculations can even be reasonably done by hand). The primary purpose of Mathematical Modeling Using Microsoft Excel is to provide instructions and examples for using the spreadsheet program Microsoft Excel to support a wide range of mathematical modeling applications. Microsoft Excel is a powerful spreadsheet program which allows the user to organize numerical data into an easy to follow on-screen grid of columns and rows. Our version of Excel is based on Microsoft Windows. In this text, it is not the intent to teach mathematical modeling, but rather to provide computer support for most of the modeling topics covered in A First Course in Mathematical Modeling. The examples given here are support that text as well.

Mathematical Modeling with Excel

Author : Brian Albright,William P Fox
Publisher : CRC Press
Page : 383 pages
File Size : 45,8 Mb
Release : 2019-11-25
Category : Business & Economics
ISBN : 9780429945052

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Mathematical Modeling with Excel by Brian Albright,William P Fox Pdf

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.

Solutions Manual to Accompany Models for Life

Author : Jeffrey T. Barton
Publisher : John Wiley & Sons
Page : 182 pages
File Size : 47,7 Mb
Release : 2016-02-22
Category : Mathematics
ISBN : 9781119039938

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Solutions Manual to Accompany Models for Life by Jeffrey T. Barton Pdf

A solutions manual to accompany An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques. The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® also features: A modular organization that, after the first chapter, allows readers to explore chapters in any order Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug’s therapeutic window A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor’s manual with solutions to all homework problems, project ideas, and a test bank

Building Mathematical Models in Excel

Author : Christopher Teh Boon Sung
Publisher : Universal-Publishers
Page : 352 pages
File Size : 52,8 Mb
Release : 2015-05-18
Category : Technology & Engineering
ISBN : 9781627340380

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Building Mathematical Models in Excel by Christopher Teh Boon Sung Pdf

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.

Models for Life

Author : Jeffrey T. Barton
Publisher : John Wiley & Sons
Page : 496 pages
File Size : 44,6 Mb
Release : 2016-01-19
Category : Mathematics
ISBN : 9781119039754

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Models for Life by Jeffrey T. Barton Pdf

Features an authentic and engaging approach to mathematical modeling driven by real-world applications With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques. The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® also features: A modular organization that, after the first chapter, allows readers to explore chapters in any order Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug’s therapeutic window A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor’s manual with solutions to all homework problems, project ideas, and a test bank The book is ideal for undergraduate non-mathematics majors enrolled in mathematics or quantitative reasoning courses such as introductory mathematical modeling, applications of mathematics, survey of mathematics, discrete mathematical modeling, and mathematics for liberal arts. The book is also an appropriate supplement and project source for honors and/or independent study courses in mathematical modeling and mathematical biology. Jeffrey T. Barton, PhD, is Professor of Mathematics in the Mathematics Department at Birmingham-Southern College. A member of the American Mathematical Society and Mathematical Association of America, his mathematical interests include approximation theory, analytic number theory, mathematical biology, mathematical modeling, and the history of mathematics.

Financial Simulation Modeling in Excel

Author : Keith A. Allman,Josh Laurito,Michael Loh
Publisher : John Wiley & Sons
Page : 220 pages
File Size : 44,6 Mb
Release : 2011-09-02
Category : Business & Economics
ISBN : 9781118137222

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Financial Simulation Modeling in Excel by Keith A. Allman,Josh Laurito,Michael Loh Pdf

"I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." — David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.

Mastering Financial Mathematics in Microsoft Excel 2013

Author : Alastair Day
Publisher : Pearson UK
Page : 428 pages
File Size : 55,7 Mb
Release : 2015-10-07
Category : Business & Economics
ISBN : 9781292067537

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Mastering Financial Mathematics in Microsoft Excel 2013 by Alastair Day Pdf

Fully updated and compliant with Excel 2013, this clearly explains the basic calculations for mathematical finance, backed up with simple templates for further use and development, and a workbook with exercises and solutions at the end of each chapter. The examples used are relevant to both managers and students in the UK and overseas. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

The Active Modeler

Author : Erich Neuwirth,Deane Arganbright
Publisher : Duxbury Resource Center
Page : 0 pages
File Size : 43,7 Mb
Release : 2004
Category : Computer simulation
ISBN : 0534420850

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The Active Modeler by Erich Neuwirth,Deane Arganbright Pdf

Neuwirth and Arganbright (credentials not listed) offer an introduction to modeling a variety of applications with Microsoft Excel. The text features numerous tutorials and applications to illustrate the use of Excel in modeling and solving problems. Chapters focus on topics like dynamical models and difference equations, physics applications, numb.

Models for Life

Author : Jeffrey T. Barton
Publisher : John Wiley & Sons
Page : 0 pages
File Size : 54,6 Mb
Release : 2016-05-02
Category : Mathematics
ISBN : 8210379456XXX

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Models for Life by Jeffrey T. Barton Pdf

This set includes Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel and Solutions Manual to Accompany Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel. With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques. The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® also features: A modular organization that, after the first chapter, allows readers to explore chapters in any order Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug’s therapeutic window A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor’s manual with solutions to all homework problems, project ideas, and a test bank

Practical Numerical Analysis Using Microsoft Excel

Author : A. Nandy
Publisher : Alpha Science Int'l Ltd.
Page : 308 pages
File Size : 46,8 Mb
Release : 2004
Category : Computers
ISBN : 1842651676

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Practical Numerical Analysis Using Microsoft Excel by A. Nandy Pdf

This text presents numerical analysis in an easy and lucid manner requiring no prior knowledge of computer programming or intricacies of mathematics using MS-EXCEL 2000 through built in functions of MS-Excel depicting with ease various analysis. The analysis used can also be done using earlier versions of MS-Excel. The majority of numerical analysis needs fall into the curve fitting, interpolation, solutions of equations, integration methods. For these Excel's features provide a very easy and inexpensive way to get the job done.

Decision Modeling with Microsoft Excel

Author : Jeffrey Hillsman Moore,Lawrence R. Weatherford
Publisher : Unknown
Page : 728 pages
File Size : 40,9 Mb
Release : 2001
Category : Business & Economics
ISBN : STANFORD:36105064284016

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Decision Modeling with Microsoft Excel by Jeffrey Hillsman Moore,Lawrence R. Weatherford Pdf

CD-ROM contains: Premium Solver for Education -- Solver Table add-in software -- Extend LT 4.0 (simulation software) -- TreePlan -- GLP, a graphic visualization program -- Excel templates for in-text examples.

R Through Excel

Author : Richard M. Heiberger,Erich Neuwirth
Publisher : Springer Science & Business Media
Page : 357 pages
File Size : 53,7 Mb
Release : 2010-01-23
Category : Computers
ISBN : 9781441900524

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R Through Excel by Richard M. Heiberger,Erich Neuwirth Pdf

In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.

Financial Modeling in Excel For Dummies

Author : Danielle Stein Fairhurst
Publisher : John Wiley & Sons
Page : 355 pages
File Size : 53,6 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119844518

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Financial Modeling in Excel For Dummies by Danielle Stein Fairhurst Pdf

Turn your financial data into insightful decisions with this straightforward guide to financial modeling with Excel Interested in learning how to build practical financial models and forecasts but concerned that you don’t have the math skills or technical know-how? We’ve got you covered! Financial decision-making has never been easier than with Financial Modeling in Excel For Dummies. Whether you work at a mom-and-pop retail store or a multinational corporation, you can learn how to build budgets, project your profits into the future, model capital depreciation, value your assets, and more. You’ll learn by doing as this book walks you through practical, hands-on exercises to help you build powerful models using just a regular version of Excel, which you’ve probably already got on your PC. You’ll also: Master the tools and strategies that help you draw insights from numbers and data you’ve already got Build a successful financial model from scratch, or work with and modify an existing one to your liking Create new and unexpected business strategies with the ideas and conclusions you generate with scenario analysis Don’t go buying specialized software or hiring that expensive consultant when you don’t need either one. If you’ve got this book and a working version of Microsoft Excel, you’ve got all the tools you need to build sophisticated and useful financial models in no time!

Mastering Financial Mathematics in Microsoft Excel

Author : Alastair Day
Publisher : Pearson UK
Page : 442 pages
File Size : 52,6 Mb
Release : 2013-02-25
Category : Business & Economics
ISBN : 9780273746720

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Mastering Financial Mathematics in Microsoft Excel by Alastair Day Pdf

A practical guide for business calculations Mastering Financial Mathematics in Microsoft © Excel provides a comprehensive set of tools, methods and formulas which apply Excel to solving mathematical problems. The book: Explains basic calculations for mathematical finance Shows how to use formulas using straightforward Excel templates Provides a CD of basic templates This fully revised and updated guide is an essential companion for anyone involved in finance, from company accountants, through to analysts, treasury managers and business students. Explaining basic calculations and using examples and exercises, the book covers: Cash flows Bonds calculations and bonds risks Amortization and depreciation Forward interest rates and futures Foreign exchange Valuation Leasing Mastering Financial Mathematics in Microsoft Excel is a practical guide to using Excel for financial mathematics. This new edition includes: Excel 2007 Addition of a glossary of key terms Functions list in English and Euro languages Continuity check on all formats, layouts and charts More worked examples Addition of exercises at the end of each chapter to help build models About the authors Alastair Day has worked in the finance industry for more than 25 years in treasury and marketing functions and was formerly a director of a vendor leasing company specializing in the IT and technology industries. After sale to a public company he established Systematic Finance as a consultancy specializing in: ■ Financial modelling – review, design, build and audit ■ Training in financial modelling, corporate finance, leasing and credit analysis on an in-house and public basis throughout Europe, Middle East, Africa, Asia and America ■ Finance and operating lease structuring as a consultant and lessor Alastair is author of three modelling books published by FT Prentice Hall: Mastering Financial Modelling, Mastering Risk Modelling and Mastering Financial Mathematics in Excel, all of which are in their second editions, as well as other books and publications on financial analysis and leasing. Alastair has a degree in Economics and German from London University and an MBA from the Open University Business School. * * * * * * *