Description
Book SynopsisLearn to fully harness the power of Microsoft Excel(r) to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's(r) capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems.
Trade Review"I thoroughly enjoyed this book and recommend it to anyone who finds themselves using Excel to do numerical computations beyond the basic spreadsheet operations. The CD provides a wealth of custom functions that extend the usefulness of Excel plus virtually all of the spreadsheets, charts, and VBA code needed to perform the example problems given in the text. This paperback edition and CD are a real bargain." (
Technometrics, May 2008)
"This is a wonderful book for power users of Excel or those wanting to learn VBA and could also be useful as a course book in numerical methods…"" (IEEE Electrical Insulation Magazine, July/August 2008)
"I am wiser now, and you should be, too! This book is strongly recommended for all engineers, scientists, undergraduate and graduate students that have ever used EXCEL." (Materials and Manufacturing Processes, Volume 22, Issue 7 2007)
"An excellent volume for practicing scientists or engineers encountering numerical methods." (CHOICE, October 2007)
Table of ContentsDetailed Table of Contents vii
Preface xv
Acknowledgments xix
About the Author xix
Chapter 1 Introducing Visual Basic for Applications 1
Chapter 2 Fundamentals of Programming with VBA 15
Chapter 3 Worksheet Functions for Working with Matrices 57
Chapter 4 Number Series 69
Chapter 5 Interpolation 77
Chapter 6 Differentiation 99
Chapter 7 Integration 127
Chapter 8 Roots of Equations 147
Chapter 9 Systems of Simultaneous Equations 189
Chapter 10 Numerical Integration of Ordinary Differential Equations, Part I: Initial Conditions 217
Chapter 11 Numerical Integration of Ordinary Differential Equations, Part II: Boundary Conditions 245
Chapter 12 Partial Differential Equations 263
Chapter 13 Linear Regression and Curve Fitting 287
Chapter 14 Nonlinear Regression Using the Solver 313
Chapter 15 Random Numbers and the Monte Carlo Method 341
Appendices
Appendix 1 Selected VBA Keywords 365
Appendix 2 Shortcut Keys for VBA 387
Appendix 3 Custom Functions Help File 389
Appendix 4 Some Equations for Curve Fitting 409
Appendix 5 Engineering and Other Functions 423
Appendix 6 ASCII Codes 427
Appendix 7 Bibliography 429
Appendix 8 Answers and Comments for End-of-Chapter Problems 431
Index 443
