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Title: Excel for Scientists and Engineers: Numerical Methods
ISBN: 0471387347
Author:
E. Joseph Billo
Publicate Date: 2007-04-06
Publish: 2007-04-06
List Price: $52.95
Average Customer Rating: 5.0
Format: Paperback
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Amazon Lowest New Price: $39.36
Amazon Lowest Used Price: $35.00
Amazon Merchant Price: $46.10
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| Customer Review: |
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1: This book is the REAL DEAL......
Excel for Scientists and Engineers: Numerical Methods
I am very pleased with my purchase of this book. This book is the REAL DEAL.....if you are looking to do advanced numerical math with an Excel spreadsheet. Many other "Excel books for Scientists" simply offer elementary methods on error detection, lists of items and simple math like rounding off, etc. This book is completely different. It starts of on doing matrices with Excel, then goes through Interpolation, differentiation, Integration, Simultaneos Equations, Partial Differential equations, then finishes off with both Linear as well as Non-Linear Regression techniques and Curve Fitting.
In and of itself, even if it didn't show methods to do these things with an Excel spreadsheet, the book would be well worth the read simply as a refresher course in these topics. However, it does show lucid, well-thought out examples of implementing complex numerical methods with standard Excel spreadsheets.
The only thing that this book is lacking in, is a coverage of normal level usage of VBA. It does start off in the very first few chapters with a cursory coverage of VBA, but that is pretty much all that we hear of VBA throughout the rest of the book. However, this is not too much of a drawback, because there are many volumes of other books which cover VBA in wonderful detail. What would be a marriage made in Heaven would be this book with more step-by-step integration with VBA, showing advanced programming techniques in Excel with regards to the great coverage of numerical methods.
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2: Excellent Book on Excel VBA Programming
My library holds many books on using Excel and programming in Excel VBA. Billo's book has brought valuable hints and techniques that have enhanced my VBA programming skills. The book offers a well balanced coverage of numerical analysis and statistical regression topics. While the examples are more geared for the chemists, they should not be a turn off for readers who are in other scientific and engineering disciplines.
Billo offers an interesting approach to using VBA code and shows you, throughout the book, how to write functions (in modules) that you can use as "custom functions" in your spreadsheets. Excel invokes these functions automatically whenever you alter a cell value and trigger automatic recalculations. This technique frees you from having to repeatedly invoke VBA macros to recalculate values in a spreadsheet. The "custom functions" you learn to build become a custom extension to the Excel library of built-in functions.
I highly recommend this fine book and congratulate the author on his clever work. Billo's book stands out among other Excel VBA books.
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