Excel� VBA for physicists : a primer /
Excel� Visual Basic for applications for physicists : a primer.
Bernard V. Liengme.
- 1 online resource (various pagings) : color illustrations.
- [IOP release 3] IOP concise physics, 2053-2571 .
- IOP (Series). Release 3. IOP concise physics. .
"Version: 20161101"--Title page verso. "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.
Includes bibliographical references.
Preface -- 1. Introduction -- 1.1. Preparation -- 1.2. Demonstrating a simple function -- 1.3. Saving a macro-enabled workbook -- 1.4. Using constants and VB functions -- 1.5. User-defined array function -- 1.6. Notes on VBA functions -- 1.7. A simple subroutine -- 1.8. Linking an image to a subroutine -- 1.9. Recording a macro -- 1.10. Finding a home for macros -- 1.11. Typographical matters 2. Variables, Dim statements, and data types -- 2.1. Naming variables -- 2.2. The Dim statement -- 2.3. The major reason for variable declarations -- 2.4. Declarations in function headers and for constants -- 2.5. Data types -- 2.6. A second reason for variable declarations -- 2.7. Dimensioning arrays -- 2.8. The Set statement -- 2.9. The With ... End With structure 3. Structured programming -- 3.1. Branching structures (If and Select Case) -- 3.2. Looping structures (For ... Next and Do ... While/Until) -- 3.3. Some further examples 4. The Excel object model -- 4.1. Examples of properties, methods and events -- 4.2. The Range object properties -- 4.3. Range object methods -- 4.4. WorksheetFunction object -- 4.5. Workbook and worksheet events -- 4.6. Code for sending email 5. Working with add-ins -- 5.1. Creating an add-in -- 5.2. Installation -- 5.3. Using the add-in -- 5.4. Making changes to the add-in -- 5.5. Viewing worksheets -- 5.6. Protecting the add-in -- 5.7. Reversing everything 6. Numerical integration -- 6.1. The trapezoid approximation -- 6.2. The Simpson 1/3 approximation -- 6.3. An aside -- 6.4. Monte Carlo integration -- 6.5. Gaussian and Romberg integration 7. Numerical methods for differential equations -- 7.1. Euler's method -- 7.2. The Runge-Kutta fourth-order method -- 7.3. Simultaneous OEDs -- 7.4. Example of a system of two OEDs -- 7.5. Higher order OEDs -- 7.6. R-L circuit 8. Finding roots -- 8.1. The bisection method -- 8.2. The successive iteration method -- 8.3. Root finding with Solver -- 8.4. Using range names.
This book is both an introduction and a demonstration of how Visual Basic for Applications (VBA) can greatly enhance Microsoft Excel� by giving users the ability to create their own functions within a worksheet and to create subroutines to perform repetitive actions. The book is written so readers are encouraged to experiment with VBA programming with examples using fairly simple physics or non-complicated mathematics such as root finding and numerical integration. Tested Excel� workbooks are available for each chapter and there is nothing to buy or install.
Suitable for physicists and other scientists and engineers, including students.
Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader.
Bernard V. Liengme is a Retired Professor of Chemistry and Lecturer in Information Systems of St Francis Xavier University in Nova Scotia, Canada. He is the author of several Microsoft Excel� guides for business and scientists and engineers, and two other titles published with IOP ebooks. Bernard has been awarded the Microsoft Most Valued Professional award in Excel� in eight consecutive years.