Excel Scientific and Engineering Cookbook: Adding Excel to Your Analysis Arsenal

Front Cover
"O'Reilly Media, Inc.", Jan 17, 2006 - Computers - 446 pages

Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice.

Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others:

  • Use Excel and VBA in general
  • Import data from a variety of sources
  • Analyze data
  • Perform calculations
  • Visualize the results for interpretation and presentation
  • Use Excel to solve specific science and engineering problems

Wherever possible, the Excel Scientific and Engineering Cookbook draws on real-world examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks.

High on practicality and low on theory, this quick, look-up reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere page-flip away.

 

Contents

Using Excel
1
Getting Acquainted with Visual Basic for Applications
41
Collecting and Cleaning Up Data
73
Charting
108
Statistical Analysis
145
Time Series Analysis
172
Mathematical Functions
215
Curve Fitting and Regression
233
Solving Equations
263
Numerical Integration and Differentiation
296
Solving Ordinary Differential Equations
318
Solving Partial Differential Equations
342
Performing Optimization Analyses in Excel
359
Introduction to Financial Calculations
401
Index
415

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