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Excel Scientific and Engineering Cookbook: Adding Excel to Your Analysis Arsenal (Cookbooks (O'Reilly))
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Product details
Series: Cookbooks (O'Reilly)
Paperback: 446 pages
Publisher: O'Reilly Media; 1 edition (January 27, 2006)
Language: English
ISBN-10: 0596008791
ISBN-13: 978-0596008796
Product Dimensions:
7 x 1.1 x 9.2 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
18 customer reviews
Amazon Best Sellers Rank:
#619,018 in Books (See Top 100 in Books)
Mr. Bourg writes so well. I didn't have to be at my computer yet I was still able to follow and enjoy what I was learning. His writing style is so personable and down to earth. This book came in handy for the "Allied Science" person performing Quality Control charts and giving them pizzazz.
No Excel spreadsheets included
There are a ton of valuable methods included in this book and the steps for implementing are very clear. The only trick (like any other recipe book) is remembering all the good stuff that's in here.In the 5 years I've owned it, it has improved my analysis or showed a way to do an analysis 5 or 6 times. These are the times were you are just stymied and are going to the bookshelf for inspiration or in desperation.
The Book Excel CientÃfica e Engenharia Cookbook looks very good, only now should be to Office 2007 or 2010, because that is targeted for 2003.O livro Excel CientÃfica e Engenharia Cookbookaparenta ser muito bom, só que já deveria ser para o Office 2007 ou 2010, porque esse é voltado para o 2003.
The book amended other books on the subject and should be considered. The cookbook is a good stepping stone for developing tie programs that are required for specific needs.
This book is the perfect companion if you want to use MS Excel for automated test reporting, calculations and all other stuff you usually do with more suitable tools. ;)
Recognizing the limitations of Excel...this is very useful if your unable to gain access to better tools (matlab/octave, python, ANSI C, fortran, etc.) for engineering computing due to policy, budget or other constraints. You will, generally speaking get Excel, and this book is an excellent eye-opener to so of the things you can get done in it. It's not a comprehensive power users manual nor a complete how-to-code textbook in Visual Basic for Applications (VBA). Rather it is a good book to flip through for great non-trivial and representative examples to showcase what you CAN do should you be shackled to Excel only. The author treats some of the examples in multiple approaches and gives many avenues to working some of the problems; some by conventional spreadsheet work, some by using the solver and other add-in tools, and some by writing some VBA code. Some example "recipes" covered are: equation solving (linear and non-), numerical integration, ODE's, PDE's and optimization. There is also useful coverage of advanced graphing and plotting in excel, data importation, basic statistics overview, basic VBA essentials, and so forth. Again the book does not give a comprehensive overview but showcases what Excel can do with a selection of intelligently chose case studies.Some particularly useful techniques are automating goal-seek and/or solver with VBA codes, solving systems of linear equations, numerical integration using Euler and 4th order runga kutta both with and without VBA codes, and use of linear programming and genetic algorithms within Excel to optimize.Note: the website also has the example spreadsheets (with attendant VBA codes; "http://shop.oreilly.com/product/9780596008796.do" on righthand margin under the link "Download Example Code" ) for download as a companion to the book.
It is often either inconvenient or financially unfeasible to solve every mathematical problem with a standalone procedural language or an expensive application such as Matlab or Mathematica. Since Excel has such advanced computational capabilities built into it and is ubiquitous in offices and homes, it would make sense to mine this application for numerical problem solving techniques. Bourg does a masterful job of presenting the tools available in Excel and showing the reader how to put them to work to solve real world engineering and mathematical problems. First, he spends a couple of chapters briefly going over Excel and its language VBA (Visual Basic for Applications). Next he goes over some intermediate level tasks such as collecting and cleaning up data, charting including 3D charts, and statistical analysis tasks such as correlating data and generating random numbers. Next Bourg moves into purely mathematical tasks such as working with discrete Fourier transforms, manipulating matrices and vectors, as well as working with basic mathematical functions. Once you have learned to use these mathematical tools in Excel, Bourg uses them to show you how to perform curve fitting and regression, solve equations, perform integration and differentiation, and solve both ordinary and partial differential equations. He even spends time on performing multivariable calculus and the finite element method in Excel. Chapter 13, on optimization, was my favorite chapter. Here, Bourg is actually getting into a little algorithm analysis and design via linear programming and genetic algorithms. This chapter showed me some truly innovative uses of Excel. The final chapter deviates from the scientific flavor of the book and concentrates on more traditional financial applications.The writing is very accessible, the examples are clear and very creative, and the author does a tremendous job of capturing the range of Excel's mathematical capabilities. Do not expect mathematical theory in this book. Bourg assumes you already know how to set up a mathematical problem and that you just need a computational platform and tools with which to perform your work. It is nice to know I am not necessarily held hostage by Mathworks(maker of Matlab) every time I need to solve a mathematical problem of any level of sophistication. Highly recommended. The table of contents is as follows: 1. Using Excel 2. Getting Acquainted with Visual Basic for Applications 3. Collecting and Cleaning Up Data 4. Charting 5. Statistical Analysis 6. Time Series Analysis 7. Mathematical Functions 8. Curve Fitting and Regression 9. Solving Equations10. Numerical Integration and Differentiation11. Solving Ordinary Differential Equations12. Solving Partial Differential Equations13. Performing Optimization Analyses in Excel14. Introduction to Financial Calculations
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