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Bis zu 50 % günstiger als neu

21 Tage Widerrufsrecht

Excel Scientific and Engineering Cookbook

David M. Bourg (Unbekannter Einband, Englisch)

Optischer Zustand
Beschreibung
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.
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Technische Daten


Erscheinungsdatum
24.01.2006
Sprache
Englisch
EAN
9780596008796
Herausgeber
O'Reilly and Associates
Sonderedition
Nein
Autor
David M. Bourg
Seitenanzahl
442
Auflage
1
Einbandart
Broschiert
Einbandart Details
Trade Paperback (US)
Inhaltsverzeichnis
Inhaltsverzeichnis Preface 1. Using Excel       1.1 Navigating the Interface       1.2 Entering Data       1.3 Setting Cell Data Types       1.4 Selecting More Than a Single Cell       1.5 Entering Formulas       1.6 Exploring the R1C1 Cell Reference Style       1.7 Referring to More Than a Single Cell       1.8 Understanding Operator Precedence       1.9 Using Exponents in Formulas       1.10 Exploring Functions       1.11 Formatting Your Spreadsheets       1.12 Defining Custom Format Styles       1.13 Leveraging Copy, Cut, Paste, and Paste Special       1.14 Using Cell Names (Like Programming Variables)       1.15 Validating Data       1.16 Taking Advantage of Macros       1.17 Adding Comments and Equation Notes       1.18 Getting Help 2. Getting Acquainted with Visual Basic for Applications       2.1 Navigating the VBA Editor       2.2 Writing Functions and Subroutines       2.3 Working with Data Types       2.4 Defining Variables       2.5 Defining Constants       2.6 Using Arrays       2.7 Commenting Code       2.8 Spanning Long Statements over Multiple Lines       2.9 Using Conditional Statements       2.10 Using Loops       2.11 Debugging VBA Code       2.12 Exploring VBA's Built-in Functions       2.13 Exploring Excel Objects       2.14 Creating Your Own Objects in VBA       2.15 VBA Help 3. Collecting and Cleaning Up Data       3.1 Importing Data from Text Files       3.2 Importing Data from Delimited Text Files       3.3 Importing Data Using Drag-and-Drop       3.4 Importing Data from Access Databases       3.5 Importing Data from Web Pages       3.6 Parsing Data       3.7 Removing Weird Characters from Imported Text       3.8 Converting Units       3.9 Sorting Data       3.10 Filtering Data       3.11 Looking Up Values in Tables       3.12 Retrieving Data from XML Files 4. Charting       4.1 Creating Simple Charts       4.2 Exploring Chart Styles       4.3 Formatting Charts       4.4 Customizing Chart Axes       4.5 Setting Log or Semilog Scales       4.6 Using Multiple Axes       4.7 Changing the Type of an Existing Chart       4.8 Combining Chart Types       4.9 Building 3D Surface Plots       4.10 Preparing Contour Plots       4.11 Annotating Charts       4.12 Saving Custom Chart Types       4.13 Copying Charts to Word       4.14 Displaying Error Bars 5. Statistical Analysis       5.1 Computing Summary Statistics       5.2 Plotting Frequency Distributions       5.3 Calculating Confidence Intervals       5.4 Correlating Data       5.5 Ranking and Percentiles       5.6 Performing Statistical Tests       5.7 Conducting ANOVA       5.8 Generating Random Numbers       5.9 Sampling Data 6. Time Series Analysis       6.1 Plotting Time Series Data       6.2 Adding Trendlines       6.3 Computing Moving Averages       6.4 Smoothing Data Using Weighted Averages       6.5 Centering Data       6.6 Detrending a Time Series       6.7 Estimating Seasonal Indices       6.8 Deseasonalization of a Time Series       6.9 Forecasting       6.10 Applying Discrete Fourier Transforms 7. Mathematical Functions       7.1 Using Summation Functions       7.2 Delving into Division       7.3 Mastering Multiplication       7.4 Exploring Exponential and Logarithmic Functions       7.5 Using Trigonometry Functions       7.6 Seeing Signs       7.7 Getting to the Root of Things       7.8 Rounding and Truncating Numbers       7.9 Converting Between Number Systems       7.10 Manipulating Matrices       7.11 Building Support for Vectors       7.12 Using Spreadsheet Functions in VBA Code       7.13 Dealing with Complex Numbers 8. Curve Fitting and Regression       8.1 Performing Linear Curve Fitting Using Excel Charts       8.2 Constructing Your Own Linear Fit Using Spreadsheet Functions       8.3 Using a Single Spreadsheet Function for Linear Curve Fitting       8.4 Performing Multiple Linear Regression       8.5 Generating Nonlinear Curve Fits Using Excel Charts       8.6 Fitting Nonlinear Curves Using Solver       8.7 Assessing Goodness of Fit       8.8 Computing Confidence Intervals 9. Solving Equations       9.1 Finding Roots Graphically       9.2 Solving Nonlinear Equations Iteratively       9.3 Automating Tedious Problems with VBA       9.4 Solving Linear Systems       9.5 Tackling Nonlinear Systems of Equations       9.6 Using Classical Methods for Solving Equations 10. Numerical Integration and Differentiation       10.1 Integrating a Definite Integral       10.2 Implementing the Trapezoidal Rule in VBA       10.3 Computing the Center of an Area Using Numerical Integration       10.4 Calculating the Second Moment of an Area       10.5 Dealing with Double Integrals       10.6 Numerical Differentiation 11. Solving Ordinary Differential Equations       11.1 Solving First-Order Initial Value Problems       11.2 Applying the Runge-Kutta Method to Second-Order Initial Value Problems       11.3 Tackling Coupled Equations       11.4 Shooting Boundary Value Problems 12. Solving Partial Differential Equations       12.1 Leveraging Excel to Directly Solve Finite Difference Equations       12.2 Recruiting Solver to Iteratively Solve Finite Difference Equations       12.3 Solving Initial Value Problems       12.4 Using Excel to Help Solve Problems Formulated Using the Finite Element Method 13. Performing Optimization Analyses in Excel       13.1 Using Excel for Traditional Linear Programming       13.2 Exploring Resource Allocation Optimization Problems       13.3 Getting More Realistic Results with Integer Constraints       13.4 Tackling Troublesome Problems       13.5 Optimizing Engineering Design Problems       13.6 Understanding Solver Reports       13.7 Programming a Genetic Algorithm for Optimization 14. Introduction to Financial Calculations       14.1 Computing Present Value       14.2 Calculating Future Value       14.3 Figuring Out Required Rate of Return       14.4 Doubling Your Money       14.5 Determining Monthly Payments       14.6 Considering Cash Flow Alternatives       14.7 Achieving a Certain Future Value       14.8 Assessing Net Present Worth       14.9 Estimating Rate of Return       14.10 Solving Inverse Problems       14.11 Figuring a Break-Even Point Index
Höhe
2330 mm
Breite
179 cm

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