Book description
Mathematica Cookbook helps you master the application's core principles by walking you through realworld problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music.
Although Mathematica 7 is a highly advanced computational platform, the recipes in this book make it accessible to everyone  whether you're working on high school algebra, simple graphs, PhDlevel computation, financial analysis, or advanced engineering models.
 Learn how to use Mathematica at a higher level with functional programming and pattern matching
 Delve into the rich library of functions for string and structured text manipulation
 Learn how to apply the tools to physics and engineering problems
 Draw on Mathematica's access to physics, chemistry, and biology data
 Get techniques for solving equations in computational finance
 Learn how to use Mathematica for sophisticated image processing
 Process music and audio as musical notes, analog waveforms, or digital sound samples
Table of contents
 Dedication
 Special Upgrade Offer
 Preface
 1. Numerics

2. Functional Programming
 2.0 Introduction
 2.1 Mapping Functions with More Than One Argument
 2.2 Holding Arbitrary Arguments
 2.3 Creating Functions That Automatically Map Over Lists
 2.4 Mapping Multiple Functions in a Single Pass
 2.5 Keeping Track of the Index of Each Item As You Map
 2.6 Mapping a Function over a Moving Sublist
 2.7 Using Prefix and Postfix Notation to Produce More Readable Code
 2.8 Defining Indexed Functions
 2.9 Understanding the Use of Fold As an Alternative to Recursion
 2.10 Incremental Construction of Lists
 2.11 Computing Through Repeated Function Application
 2.12 Building a Function Through Iteration
 2.13 Exploiting Function Composition and Inverse Functions
 2.14 Implementing Closures
 2.15 Currying in Mathematica
 2.16 Creating Functions with Default Values
 2.17 Creating Functions That Accept Options

3. Data Structures
 3.0 Introduction
 3.1 Ensuring the Most Efficient Representation of Numerical Lists
 3.2 Sorting Lists
 3.3 Determining Order Without Sorting
 3.4 Extracting the Diagonals of a Matrix
 3.5 Constructing Matrices of Specific Structure
 3.6 Constructing Permutation and Shift Matrices
 3.7 Manipulating Rows and Columns of Matrices
 3.8 Using Sparse Arrays to Conserve Memory
 3.9 Manipulating Deeply Nested Lists Using Functions with Level Specifications
 3.10 Implementing Bit Vectors and Using Format to Customize Their Presentation
 3.11 Implementing Trees and Traversals Using Lists
 3.12 Implementing Ordered Associative Lookup Using a RedBlack Tree
 3.13 Exploiting Mathematica’s BuiltIn Associative Lookup
 3.14 Constructing Graphs Using the Combinatorica’ Package
 3.15 Using Graph Algorithms to Extract Information from Graphs

4. Patterns and RuleBased Programming
 4.0 Introduction
 4.1 Collecting Items That Match (or Don’t Match) a Pattern
 4.2 Excluding Items That Match (or Don’t Match) a Pattern
 4.3 Counting Items That Match a Pattern
 4.4 Replacing Parts of an Expression
 4.5 Finding the Longest (or Shortest) Match for a Pattern
 4.6 Implementing Algorithms in Terms of Rules
 4.7 Debugging Infinite Loops When Using ReplaceRepeated
 4.8 Preventing Evaluation Until Replace Is Complete
 4.9 Manipulating Patterns with Patterns
 4.10 Optimizing Rules
 4.11 Using Patterns As a Query Language
 4.12 Semantic Pattern Matching
 4.13 Unification Pattern Matching

5. String and Text Processing
 5.0 Introduction
 5.1 Comparing Strings
 5.2 Removing and Replacing Characters from Strings
 5.3 Extracting Characters and Substrings
 5.4 Duplicating a String
 5.5 Matching and Searching Text
 5.6 Tokenizing Text
 5.7 Working with Natural Language Dictionaries
 5.8 Importing XML
 5.9 Transforming XML Using Patterns and Rules
 5.10 Transforming XML Using Recursive Functions (à la XSLT)
 5.11 Writing Parsers and Grammars in Mathematica

6. TwoDimensional Graphics and Plots
 6.0 Introduction
 6.1 Plotting Functions in Cartesian Coordinates
 6.2 Plotting in Polar Coordinates
 6.3 Creating Plots Parametrically
 6.4 Plotting Data
 6.5 Mixing Two or More Graphs into a Single Graph
 6.6 Displaying Multiple Graphs in a Grid
 6.7 Creating Plots with Legends
 6.8 Displaying 2D Geometric Shapes
 6.9 Annotating Graphics with Text
 6.10 Creating Custom Arrows

7. ThreeDimensional Graphics and Plots
 7.0 Introduction
 7.1 Plotting Functions of Two Variables in Cartesian Coordinates
 7.2 Plotting Functions in Spherical Coordinates
 7.3 Plotting Surfaces in Cylindrical Coordinates
 7.4 Plotting 3D Surfaces Parametrically
 7.5 Creating 3D Contour Plots
 7.6 Combining 2D Contours with 3D Plots
 7.7 Constraining Plots to Specified Regions
 7.8 Plotting Data in 3D
 7.9 Plotting 3D Regions Where a Predicate Is Satisfied
 7.10 Displaying 3D Geometrical Shapes
 7.11 Constructing Wireframe Models from Mesh
 7.12 Controlling Viewing Geometry
 7.13 Controlling Lighting and Surface Properties
 7.14 Transforming 3D Graphics
 7.15 Exploring Polyhedra
 7.16 Importing 3D Graphics from CAD and Other 3D Software

8. Image Processing
 8.0 Introduction
 8.1 Extracting Image Information
 8.2 Converting Images from RGB Color Space to HSV Color Space
 8.3 Enhancing Images Using Histogram Equalization
 8.4 Correcting Images Using Histogram Specification
 8.5 Sharpening Images Using Laplacian Transforms
 8.6 Sharpening and Smoothing with Fourier Transforms
 8.7 Detecting Edges in Images
 8.8 Image Recognition Using Eigenvectors (Eigenimages)

9. Audio and Music Processing
 9.0 Introduction
 9.1 Creating Musical Notes
 9.2 Creating a Scale or a Melody
 9.3 Adding Rhythm to a Melody
 9.4 Controlling the Volume
 9.5 Creating Chords
 9.6 Playing a Chord Progression
 9.7 Writing Music with Traditional Chord Notation
 9.8 Creating Percussion Grooves
 9.9 Creating More Complex Percussion Grooves
 9.10 Exporting MIDI files
 9.11 Playing Functions As Sound
 9.12 Adding Tremolo
 9.13 Adding Vibrato
 9.14 Applying an Envelope to a Signal
 9.15 Exploring Alternate Tunings
 9.16 Importing Digital Sound Files
 9.17 Analyzing Digital Sound Files
 9.18 Slicing a Sample
 10. Algebra

11. Calculus: Continuous and Discrete
 11.0 Introduction
 11.1 Computing Limits
 11.2 Working with Piecewise Functions
 11.3 Using Power Series Representations
 11.4 Differentiating Functions
 11.5 Integration
 11.6 Solving Differential Equations
 11.7 Solving Minima and Maxima Problems
 11.8 Solving Vector Calculus Problems
 11.9 Solving Problems Involving Sums and Products
 11.10 Solving Difference Equations
 11.11 Generating Functions and Sequence Recognition

12. Statistics and Data Analysis
 12.0 Introduction
 12.1 Computing Common Statistical Metrics of Numerical and Symbolic Data
 12.2 Generating Pseudorandom Numbers with a Given Distribution
 12.3 Working with Probability Distributions
 12.4 Demonstrating the Central Limit Theorem
 12.5 Computing Covariance and Correlation of Vectors and Matrices
 12.6 Measuring the Shape of Data
 12.7 Finding and Adjusting for Outliers
 12.8 Fitting Data Using a Linear Model
 12.9 Fitting Data Using a Nonlinear Model
 12.10 Creating Interpolation Functions from Data
 12.11 Testing for Statistically Significant Difference Between Groups Using ANOVA
 12.12 Hypothesis Testing with Categorical Data
 12.13 Grouping Data into Clusters
 12.14 Creating Common Statistical Plots
 12.15 QuasiRandom Number Generation
 12.16 Creating Stochastic Simulations

13. Science and Engineering
 13.0 Introduction
 13.1 Working with Element Data
 13.2 Working with Chemical Data
 13.3 Working with Particle Data
 13.4 Working with Genetic Data and Protein Data
 13.5 Modeling PredatorPrey Dynamics
 13.6 Solving Basic Rigid Bodies Problems
 13.7 Solving Problems in Kinematics
 13.8 Computing Normal Modes for Coupled Mass Problems
 13.9 Modeling a Vibrating String
 13.10 Modeling Electrical Circuits
 13.11 Modeling Truss Structures Using the Finite Element Method

14. Financial Engineering
 14.0 Introduction
 14.1 Leveraging Mathematica’s Bundled Financial Data
 14.2 Importing Financial Data from Websites
 14.3 Present Value of Future Cash Flows
 14.4 Interest Rate Sensitivity of Bonds
 14.5 Constructing and Manipulating Yield Curves
 14.6 BlackScholes for European Option Pricing
 14.7 Computing the Implied Volatility of Financial Derivatives
 14.8 Speeding Up NDSolve When Solving BlackScholes and Other PDEs
 14.9 Developing an Explicit Finite Difference Method for the BlackScholes Formula
 14.10 Compiling an Implementation of Explicit Trinomial for Fast Pricing of American Options
 14.11 Modeling the ValueatRisk of a Portfolio Using Monte Carlo and Other Methods
 14.12 Visualizing Trees for InterestRate Sensitive Instruments

15. Interactivity
 15.0 Introduction
 15.1 Manipulating a Variable
 15.2 Manipulating a Symbolic Expression
 15.3 Manipulating a Plot
 15.4 Creating Expressions for Which Value Dynamically Updates
 15.5 Intercepting the Values of a Control Attached to a Dynamic Expression
 15.6 Controlling Updates of Dynamic Values
 15.7 Using DynamicModule As a Scoping Construct in Interactive Notebooks
 15.8 Using Scratch Variables with DynamicModule to Balance Speed Versus Space
 15.9 Making a Manipulate SelfContained
 15.10 Remembering the Values Found Using Manipulate
 15.11 Improving Performance of Manipulate by Segregating Fast and Slow Operations
 15.12 Localizing a Function in a Manipulate
 15.13 Sharing DynamicModule Variables across Cell or Window Boundaries
 15.14 Creating Your Own Custom Controls
 15.15 Animating an Expression
 15.16 Creating Custom Interfaces
 15.17 Managing a Large Number of Controls in Limited Screen Real Estate

16. Parallel Mathematica
 16.0 Introduction
 16.1 Configuring Local Kernels
 16.2 Configuring Remote Services Kernels
 16.3 Sending a Command to Multiple Kernels for Parallel Evaluation
 16.4 Automatically Parallelizing Existing Serial Expressions
 16.5 Distributing Data Segments in Parallel and Combining the Results
 16.6 Implementing DataParallel Algorithms by Using ParallelMap
 16.7 Decomposing a Problem into Parallel Data Sets
 16.8 Choosing an Appropriate Distribution Method
 16.9 Running Different Algorithms in Parallel and Accepting the First to Complete
 16.10 Sharing Data Between Parallel Kernels
 16.11 Preventing Race Conditions When Multiple Kernels Access a Shared Resource
 16.12 Organizing Parallel Processing Operations Using a Pipeline Approach
 16.13 Processing a Massive Number of Files Using the MapReduce Technique
 16.14 Diagnosing Parallel Processing Performance
 16.15 Measuring the Overhead of Parallelization in Your Environment

17. Interfacing Mathematica
 17.0 Introduction
 17.1 Calling External Command Line Programs from Mathematica
 17.2 Launching Windows Programs from Mathematica
 17.3 Connecting the Frontend to a Remote Kernel
 17.4 Using Mathematica with C and C++
 17.5 Using Mathematica with Java
 17.6 Using Mathematica to Interact with Microsoft’s .NET Framework
 17.7 Using the Mathematica Kernel from a .NET Application
 17.8 Querying a Database
 17.9 Updating a Database
 17.10 Introspection of Databases

18. Tricks of the Trade
 18.0 Introduction
 18.1 Cleaning Up During Incremental Development
 18.2 Modifying Builtin Functions and Constants
 18.3 Locating Undocumented Functions
 18.4 Packaging Your Mathematica Solutions into Libraries for Others to Use
 18.5 Compiling Functions to Improve Performance
 18.6 Automating and Standardizing the Appearance of Notebooks Using Stylesheets
 18.7 Transforming Notebooks into Other Forms
 18.8 Calling into the Mathematica Frontend
 18.9 Initializing and Cleaning Up Automatically
 18.10 Customizing Frontend User Interaction

19. Debugging and Testing
 19.0 Introduction
 19.1 Printing as the First Recourse to Debugging
 19.2 Debugging Functions Called Many Times
 19.3 Stack Tracing to Debug Recursive Functions
 19.4 Taming Trace to Extract Useful Debugging Information
 19.5 Creating a Poor Man’s Mathematica Debugger
 19.6 Debugging BuiltIn Functions with Evaluation and Step Monitors
 19.7 Visual Debugging with Wolfram Workbench
 19.8 Writing Unit Tests to Help Ensure Correctness of Your Code
 19.9 Creating MUnit Tests Where Success Is Not Based on Equality Testing
 19.10 Organizing and Controlling MUnit Tests and Test Suites
 19.11 Integrating Wolfram Workbench’s MUnit Package into the Frontend
 A. About the Author
 Index
 About the Author
 Colophon
 Special Upgrade Offer
 Copyright
Product information
 Title: Mathematica Cookbook
 Author(s):
 Release date: May 2010
 Publisher(s): O'Reilly Media, Inc.
 ISBN: 9780596520991
You might also like
book
Mathematica DeMYSTiFied
Need to learn MATHEMATICA? Problem SOLVED! Take full advantage of all the powerful capabilities of Mathematica …
book
An Engineer's Guide to Mathematica
Free Mathematica 10 Update Included! Now available from www.wiley.com/go/magrab Updated material includes:  Creating regions and …
book
A Physicist's Guide to Mathematica, 2nd Edition
For the engineering and scientific professional, A Physicist’s Guide to Mathematica, Second Edition provides an updated …
book
Applying Math with Python
Discover easytofollow solutions and techniques to help you to implement applied mathematical concepts such as probability, …