Practical Numerical Analysis Using Microsoft Excel
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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.
An Introduction to Numerical Analysis Using Excel by Anthony Mazzurco Pdf
This book provides an introduction into some of the basic theories and techniques of Numerical Analysis. Its main purpose is to provide the basis for a first level college course in this field. However, it is written in a way that would help any reader outside of the classroom, with an appropriate background, to attain insight and a fundamental understanding into this field of mathematics. The theory behind the various methods are explored and, where possible, derived in an intuitive manner. Traditionally, teaching this field relied on the student performing the repetitive steps of these procedures with pencil and paper or programming the algorithms on a computer using any one of a number of languages (e.g. FORTRAN, Pascal, or C). Here, these methods are demonstrated by implementing them in spreadsheets using Microsoft's Excel. The derivation of each of the spreadsheets is covered in depth so that the practical application of the theory is highlighted. With the use of examples, the student can see the numerical techniques actually converge to the problem's solution on their personal computer. The spreadsheets are generalized so that they can also be used by the student to solve other problems. Spreadsheets, like Excel, lend themselves to performing repetitive steps without frustrating the student with the likelihood of making simple arithmetic errors which detract from seeing the beauty of these techniques in operation. In addition, basic spreadsheets are relatively user-friendly and easy to understand so the student does not need to learn or avail themselves of a traditional programming language in order to understand this topic. The student only needs a basic understanding of spreadsheets in order to use this book. Whenever some of Excel's less common tools are used, an explanation is given to show how they are implemented. An example would be to show how a user-defined function is created. There are four main sections to this book. The first section covers finding roots of equations. The techniques are straight-forward and are generally described geometrically. Newton's Method does require an understanding of derivatives. The second section deals with numerical methods for evaluating definite integrals. Clearly, an understanding of integral calculus is required to fully appreciate what is going on. Techniques for performing some matrix operations are covered in the third Section. Mainly, it shows how the technique of transforming a matrix into reduced row echelon form can be employed to address many of these operations. Familiarity with inverses and determinants of matrices would be very useful. A lot of the operations addressed by the reduced echelon transformation (e.g. finding determinants) are actually built into Excel. The book demonstrates how these are used as well. In the Fourth Section, iterative techniques for some simple examples of differential equations are covered. It deals with equations of the general form dy/dx=f(x, y) where there is one known value of x and y, it implements techniques that will allow one to find the value of y that is associated with some other value of x. So a basic understanding of differential equations is required to fully appreciate this Section. Each of these Sections illustrates the techniques by walking through specific examples. By following the examples and illustrations, the reader will be able to reproduce and use the spreadsheets in other applications.
Numerical Analysis Using MATLAB and Spreadsheets by Steven T. Karris Pdf
Annotation This text provides complete, clear, and detailed explanations of the principal numerical analysis methods and well known functions used in science and engineering. These are illustrated with many practical examples. With this text the reader learns numerical analysis with many real-world applications, MATLAB, and spreadsheets simultaneously. This text includes the following chapters:? Introduction to MATLAB? Root Approximations? Sinusoids and Complex Numbers? Matrices and Determinants? Review of Differential Equations? Fourier, Taylor, and Maclaurin Series? Finite Differences and Interpolation? Linear and Parabolic Regression? Solution of Differential Equations by Numerical Methods? Integration by Numerical Methods? Difference Equations? Partial Fraction Expansion? The Gamma and Beta Functions? Orthogonal Functions and Matrix Factorizations? Bessel, Legendre, and Chebyshev Polynomials? Optimization MethodsEach chapter contains numerous practical applications supplemented with detailed instructionsfor using MATLAB and/or Microsoft Excel? to obtain quick solutions.
Numerical Analysis Using MATLAB and Excel by Steven T. Karris Pdf
This text is written primarily for students/readers who have a good background of high-school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus.
Excel for Scientists and Engineers by E. Joseph Billo Pdf
Learn to fully harness the power of Microsoft Excel® to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's® capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's® capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform: Use worksheet functions to work with matrices Find roots of equations and solve systems of simultaneous equations Solve ordinary differential equations and partial differential equations Perform linear and non-linear regression Use random numbers and the Monte Carlo method This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems. Answers and explanatory notes for most of the problems are provided in an appendix. The CD-ROM that accompanies this text provides several useful features: All the spreadsheets, charts, and VBA code needed to perform the examples from the text Solutions to most of the end-of-chapter problems An add-in workbook with more than twenty custom functions This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package
Excel 4 for Scientists and Engineers by William J. Orvis Pdf
A sourcebook of numerical methods implemented on the Excel spreadsheet. Each example is explained in detail, showing not only the numerical method but the step-by-step implementation of the method on a spreadsheet. All levels of numerical analysis are described, from simple tabulations of functions, statistics and curve fitting to solutions of differential equations in one and two dimensions. These methods are applicable to both the Macintosh and Windows versions of Excel.
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.
Practical Numerical Methods with C# by Jack Xu Pdf
The second edition of this book builds all the code example within a single project by incorporating new advancements in C# .NET technology and open-source math libraries. It also uses C# Interactive Window to test numerical computations without compiling or running the complete project code. The second edition includes three new chapters, including "Plotting", Fourier Analysis" and "Math Expression Parser". As in the first edition, this book presents an in-depth exposition of the various numerical methods used in real-world scientific and engineering computations. It emphasizes the practical aspects of C# numerical methods and mathematical functions programming, and discusses various techniques in details to enable you to implement these numerical methods in your .NET application. Ideal for scientists, engineers, and students who would like to become more adept at numerical methods, the second edition of this book covers the following content: - Overview of C# programming. - The mathematical background and fundamentals of numerical methods. - plotting the computation results using a 3D chart control. - Math libraries for complex numbers and functions, real and complex vector and matrix operations, and special functions. - Numerical methods for generating random numbers and random distribution functions. - Various numerical methods for solving linear and nonlinear equations. - Numerical differentiation and integration. - Interpolations and curve fitting. - Optimization of single-variable and multi-variable functions with a variety of techniques, including advanced simulated annealing and evolutionary algorithms. - Numerical techniques for solving ordinary differential equations. - Numerical methods for solving boundary value problems. - Eigenvalue problems. - Fourier analysis. - mathematical expression parser and evaluator. In addition, this book provides testing examples for every math function and numerical method to show you how to use these functions and methods in your own .NET applications in a manageable and step-by-step fashion. Please visit the author's website for more information about this book at https://drxudotnet.com https://drxudotnet.com and https://gincker.com.
Quantitative Methods for Decision Making Using Excel by Glyn Davis,Branko Pecar Pdf
Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment. Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book. An Online Resource Centre accompanies the text and includes: For students: - Numerical skills workbook with additional exercises, questions and content - Data from the examples and exercises in the book - Online glossary of terms - Revision tips - Visual walkthrough videos covering the application of a range of quantitative methods - Appendices to the book For lecturers: - Instructor's manual including solutions from the text and a guide to structuring lectures and seminars - PowerPoint presentations - Test bank with questions for each chapter - Suggested assignment and examination questions
Practical Numerical Methods for Chemical Engineers by Richard A. Davis Pdf
This latest edition expands Practical Numerical Methods (PNM) with more VBA to boost Excel's power for modeling and analysis using the same numerical techniques found in specialized math software. Visit the companion web site for more details and additional content: www.d.umn.edu/~rdavis/PNM Download the book's Excel and VBA files and learn how to customize your own Excel workbooks: Get the PNMSuite: A refined macro-enabled Excel workbook with a suite of over 200 VBA user-defined functions, macros, and user-forms for learning VBA and implementing advanced numerical methods in Excel. Work through the hundreds of examples, illustrations, and animations from the book available in downloadable Excel files that demonstrate applied numerical methods in Excel. Customize the example Excel worksheets and VBA code to tackle your own problems. Try the practice problems for a self-guided study to sharpen your Excel and VBA skills. The first chapter sets up the background for practical problem solving using numerical methods. The next two chapters cover frequently overlooked features of Excel and VBA for implementing numerical methods in Excel and documenting results. The remaining chapters present powerful numerical techniques using Excel and VBA to find roots to individual and systems of linear and nonlinear equations, evaluate derivatives, perform optimization, model data by regression and interpolation, assess model fidelity, analyze risk and uncertainty, perform integration, and solve ordinary and partial differential equations. This new edition builds on the success of previous editions with 20% new content and updated features in the latest editions of Excel!
Practical Statistics by Example Using Microsoft Excel and MINITAB by Terry Sincich,David M. Levine,David Stephan Pdf
This book/CD-ROM text for an introductory statistics course focuses on principles that are important for non-statistics majors. Each new concept is introduced and illustrated with real examples from various disciplines that demonstrate how to solve various types of statistical problems. Examples are accompanied by graphs and output for a focus on analysis and interpretation. The spreadsheet application Microsoft Excel and the statistical software MINITAB are integrated throughout the text, and tutorials on both are offered. Students are assumed to have a background in college algebra. Learning features include self- tests, and key formulas, symbols, and terms. The author is affiliated with the University of South Florida. Annotation copyrighted by Book News, Inc., Portland, OR.
Numerical Methods with VBA Programming by James Hiestand Pdf
Numerical Methods with VBA Programming provides a unique and unified treatment of numerical methods and VBA computer programming, topics that naturally support one another within the study of engineering and science. This engaging text incorporates real-world scenarios to motivate technical material, helping students understand and retain difficult and key concepts. Such examples include comparing a two-point boundary value problem to determining when you should leave for the airport to catch a scheduled flight. Numerical examples are accompanied by closed-form solutions to demonstrate their correctness. Within the programming sections, tips are included that go beyond language basics to make programming more accessible for students. A unique section suggest ways in which the starting values for non-linear equations may be estimated. Flow charts for many of the numerical techniques discussed provide general guidance to students without revealing all of the details. Useful appendices provide summaries of Excel and VBA commands, Excel functions accessible in VBA, basics of differentiation, and more!
Practical Data Analysis in Chemistry by Marcel Maeder,Yorck-Michael Neuhold Pdf
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses. * Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes. * Provides examples of routines that are easily adapted to the processes investigated by the reader * 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
Solved Practical Problems in Transportation Engineering by Ghazi G. Al-Khateeb Pdf
The book presents engineering concepts, techniques, practices, principles, standard procedures, and models that are applied and used to design and evaluate traffic systems, road pavement structures, alternatives of transportation systems, roadway horizontal and vertical alignments to ultimately achieve safety, sustainability, efficiency, and cost-effectiveness. The book provides plentiful number of problems on five major areas of transportation engineering and includes broad range of ideas and practical problems that are included in all topics of the book. Furthermore, the book covers problems dealing with theory, concepts, practice, and applications. The solution of each problem in the book follows a step-by-step procedure that includes the theory and the derivation of the formulas in some cases and the computations. Moreover, almost all problems in the five parts of the book include detailed calculations that are solved using the MS Excel worksheets where mathematical, trigonometric, statistical, and logical formulas are used to obtain a more rapid and efficient solution. In some cases, the MS Excel solver tool is used for solving complex equations in several problems of the book. Additionally, numerical methods, linear algebraic methods, and least squares regression techniques are utilized in some problems to assist in solving the problem and make the solution much easier. The book will help academics and professionals to find practical solutions across the spectrum of transportation engineering. The book is designed to be informative and filled with an abundance of solutions to problems in the engineering science of transportation. It is expected that the book will enrich the knowledge and science in transportation engineering, thereby elevating the civil engineering profession in general and the transportation engineering practice in particular as well as advancing the transportation engineering field to the best levels possible. FEATURES: Presents coverage of five major areas in transportation engineering: traffic engineering, pavement materials, analysis, and design, urban transportation planning, highway surveying, and geometric design of highways. Provides solutions to numerous practical problems in transportation engineering including terminology, theory, practice, computation, and design. Includes downloadable and user-friendly MS Excel spreadsheets as well as numerical methods and optimization tools and techniques. Includes several practical case studies throughout. Implements a unique kind of approach in presenting the different topics.
