Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield


Fee Download Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield

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Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield

Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield

Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield

Fee Download Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield

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Mastering MATLAB, by Duane C. Hanselman, Bruce L. Littlefield

Mastering MATLAB covers the essential aspects of MATLAB presented in an easy- to-follow “learn while doing” tutorial format. It is appropriate for undergraduate and graduate courses in MATLAB, as a reference in courses where MATLAB is used,  or as a self-study reference.

  • Sales Rank: #133309 in Books
  • Published on: 2011-10-08
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.06″ h x 1.89″ w x 6.93″ l, 2.43 pounds
  • Binding: Paperback
  • 864 pages

About the Author
Dr. Duane Hanselman earned his Ph.D. And MSEE from the University of Illinois. He earned his BSEE from Michigan State University. Currently an Associate Professor in the Electrical and Computer Engineering Department at the University of Maine, Dr. Hanselman has taught a wide variety of undergraduate and graduate classes including introductory circuits, signals and linear systems, control systems, signal processing, electromagnetics, power electronics, electromechanical energy conversion, and numerical methods.

Dr. Hanselman is a leading expert in the design of brushless permanent magnet motors, i.e., brushless DC motors and PM synchronous motors. He provides consulting to a wide variety of companies and has served as an expert witness for patent infringement lawsuits and various insurance and civil suits. In addition, Dr. Hanselman has presented numerous short courses on the design of brushless permanent magnet motors.

Dr. Hanselman has published numerous books, including the Mastering MATLAB series of texts and two editions of Brushless Permanent Magnet Motor Design.

Most helpful customer reviews

97 of 100 people found the following review helpful.
Good general Matlab reference
By calvinnme
I have been using a copy of this reference since I got started with Matlab about a year and a half ago. It is very good for beginners who need to look up how to do general tasks such as write a function using variable arguments, perform plotting, or figure out how to shoe-horn a problem into Matlab that doesn’t really seem to fit the Matlab paradigm of everything being a matrix. I also particularly like the chapter on using Matlab with Java. Of course, if you are a more advanced user, this book will seem too simplistic. Even now, though, it’s the first book I go to when I have a question that does not involve one of the specialized Matlab toolboxes. The table of contents is not shown by Amazon, so I show it here for the purpose of completeness:
1 GETTING STARTED
Introduction; Typographical Conventions; What’s New in MATLAB 7; What’s in Mastering MATLAB 7

2 BASIC FEATURES
Simple Math; The MATLAB Workspace; About Variables; Comments, Punctuation, and Aborting Execution; Complex Numbers;Floating-Point Arithmetic;Mathematical Functions

3 THE MATLAB DESKTOP
MATLAB Windows; Managing the MATLAB Workspace; Memory Management; Number Display Formats; Keeping a Session Log;System Information; The MATLAB Search Path

4 SCRIPT M-FILES
Script M-file Use; Block Comments and Code Cells; Setting Execution Time; Startup and Finish

5 ARRAYS AND ARRAY OPERATIONS
Simple Arrays; Array Addressing or Indexing; Array Construction; Array Orientation; Scalar-Array Mathematics; Array-Array Mathematics; Standard Arrays; Array Manipulation; Array Sorting; Subarray Searching; Array Manipulation Functions; Array Size; Arrays and Memory Utilization

6 MULTIDIMENSIONAL ARRAYS
Array Construction; Array Mathematics and Manipulation; Array Size

7 NUMERIC DATA TYPES
Integer Data Types; Floating Point Data Types; Summary

8 CELL ARRAYS AND STRUCTURES
Cell Array Creation; Cell Array Manipulation; Retrieving Cell Array Content; Comma-Separated Lists; Cell Functions; Cell Arrays of Strings; Structure Creation; Structure Manipulation; Retrieving Structure Content; Comma-Separated Lists (Again); Structure Functions; Summary

9 CHARACTER STRINGS
String Construction; Numbers to Strings to Numbers; String Evaluation; String Functions; Cell Arrays of Strings; Searching Using Regular Expressions

10 RELATIONAL AND LOGICAL OPERATIONS
Relational Operators; Logical Operators; Operator Precedence; Relational and Logical Functions; NaNs and Empty Arrays

11 CONTROL FLOW
For Loops; While Loops; If-Else-End Constructions; Switch-Case Constructions; Try-Catch Blocks

12 FUNCTIONS
M-file Function Construction Rules; Input and Output Arguments; Function Workspaces; Functions and the MATLAB Search Path; Creating Your Own Toolbox; Command-Function Duality; Function Handles and Anonymous Functions; Nested Functions;

13 M-FILE DEBUGGING AND PROFILING
Debugging Tools; Syntax Checking and File Dependencies; Profiling M-files

14 FILE AND DIRECTORY MANAGEMENT
Native Data Files; Data Import and Export; Low-Level File I/O; Directory Management; FTP File Operations

15 SET, BIT, AND BASE FUNCTIONS
Set Functions; Bit Functions; Base Conversions

16 TIME COMPUTATIONS
Current Date and Time; Date Format Conversions; Date Functions; Timing Functions; Plot Labels

17 MATRIX ALGEBRA
Sets of Linear Equations; Matrix Functions; Special Matrices; Sparse Matrices; Sparse Matrix Functions

18 DATA ANALYSIS
Basic Statistical Analysis; Basic Data Analysis; Data Analysis and Statistical Functions

19 DATA INTERPOLATION
One-Dimensional Interpolation; Two-Dimensional Interpolation; Triangulation and Scattered Data; Summary

20 POLYNOMIALS
Roots; Multiplication; Addition; Division; Derivatives and Integrals; Evaluation; Rational Polynomials; Curve Fitting

21 CUBIC SPLINES
Basic Features; Piecewise Polynomials; Cubic Hermite Polynomials; Integration; Differentiation; Spline Interpolation on a Plane

22 FOURIER ANALYSIS
Discrete Fourier Transform; Fourier Series

23 OPTIMIZATION
Zero Finding; Minimization in One Dimension; Minimization in Higher Dimensions; Practical Issues

24 INTEGRATION AND DIFFERENTIATION
Integration; Differentiation

25 DIFFERENTIAL EQUATIONS
IVP Format; ODE Suite Solvers; Basic Use; Setting Options; BVPs, PDEs and DDEs

26 TWO-DIMENSIONAL GRAPHICS
The plot Function; Linestyles, Markers, and Colors; Plot Grids, Axes Box, and Labels; Customizing Plot Axes; Multiple Plots; Multiple Figures; Subplots Interactive Plotting Tools; Screen Updates; Specialized 2-D Plots; Easy Plotting; Text Formatting; Summary

27 THREE-DIMENSIONAL GRAPHICS
Line Plots; Scalar Functions of Two Variables; Mesh Plots; Surface Plots; Mesh and Surface Plots of Irregular Data; Changing Viewpoints; Camera Control; Contour Plots; Specialized 3-D Plots; Volume Visualization; Easy Plotting; Summary

28 USING COLOR AND LIGHT
Understanding Colormaps; Using Colormaps; Displaying Colormaps; Creating and Altering Colormaps; Using Color to Describe a Fourth Dimension; Lighting Models; Summary

29 IMAGES, MOVIES, AND SOUND
Images; Image Formats; Image Files; Movies; Image Utilities; Sound; Summary

30 PRINTING AND EXPORTING GRAPHICS
Printing and Exporting Using Menus; Command Line Printing and Exporting; Printers and Export File Formats; PostScript Support; Choosing a Renderer; Handle Graphics Properties; Setting Defaults; Summary

31 HANDLE GRAPHICS
Objects; Object Handles;Object Properties; get and set; Finding Objects; Selecting Objects with the Mouse; Position and Units; Default Properties; Common Properties Plot Objects Group Objects; Annotation Axes; Linking Objects; New Plots; Rendering Speed; Callbacks; M-file Examples; Summary

32 GRAPHICAL USER INTERFACES
What’s a GUI?; Predefined Dialog Boxes; M-file Dialog Boxes; Dialog Box Summary; GUI Object Hierarchy; GUI Creation Fundamentals; GUI Object Size and Position; Capturing Mouse Actions; The Event Queue; Callback Programming M-file Examples; GUIDE; Summary

33 MATLAB CLASSES AND OBJECT-ORIENTED PROGRAMMING
Overloading; Class Creation; Subscripts; Converter Functions; Precedence, Inheritance, and Aggregation

34 MATLAB PROGRAMMING INTERFACES
Accessing MATLAB Arrays; Calling C or FORTRAN from MATLAB; Calling MATLAB from C or FORTRAN; Exchanging Data with MAT-files; Shared Libraries; Serial Communications; Source Code Control Systems; Summary

35 EXTENDING MATLAB WITH JAVA
Java Overview; Java Classes; Java Objects; Java Methods; Object Properties; Data Exchange; Java Arrays; Java Functions; Examples; Summary

36 WINDOWS APPLICATION INTEGRATION
COM Objects: Client/Server Communication; Dynamic Data Exchange; MATLAB Notebook; MATLAB COM-related Toolboxes; Summary

37 GETTING HELP
Command Window Help; The Help Browser; Internet Resources; Mastering MATLAB 7 Help; Summary

38 EXAMPLES, EXAMPLES, EXAMPLES
Vectorization; JIT-Acceleration; Up-Down Sequence; Vandermonde Matrix; Repeated Value Creation and Counting; Differential Sums; Structure Manipulation; Inverse Interpolation; Polynomial Fitting; Nonlinear Curve Fitting; Picture-in-a-Picture Zoom

52 of 61 people found the following review helpful.
Materful Book
By Steven Marks
I am going to also write a review on “Matlab Guide”, I will be also comparing the two books in the reviews.
If you are considering Matlab as a scientific computing language – look no more. It has licensened the “Maple Kernal” as part of its “Math Symbolic ToolBox”, it uses LAPAK from FORTRAN for the algorithms for Matrix operations; it uses a high level language (very C++ like) and its own consise syntax for matrix manipulations as well as “Handle Graphics” to produce impressive looking plots and reports. In otherwords, it combines the best of various approaches. If you do not know C++, I advise that learn that first before attempting to learn Matlab.
Comparing “Mastering Matlab 6” (MM6) to “Matlab Guide” (MG):
*Both books are NOT for absolute Beginners, I think the assumption is that you will first study the book that comes with Matlab and the supurb “Help” Documentation that comes with the program. There are also good starting out tutorials on the net – search: “Matlab; Tutorial”. The US Navy has a consise tutorial to get you started.
*MM6 does a better job on teaching to the next level beyond the Mathworks supplied documentation and beggining Tutorials.
*MM6 WINS HANDSDOWN ON TEACHING version new to 6.0 specific features. You are short changing yourself by going for a 5.0 text.
*MM6 is geared more towards a programmer/scientist/engineer; whereas, MG is geared to a mathematician. MM6 is comprehensive (800 pages!), but well organized that you can branch off to a given chapter without covering all prior chapters. Because I had a problem to solve, I started on Chapter 18, “Interpolation” without any problems. If you have no immediate issue – taking the book in order is advised. BUT THE BOOK IS WELL CROSS-REFERENCED THAT you can jump ahead to a topc of interest.
**MM6 is real modern: There are 4 chapters (out of 28) that delve into the Object Oriented aspects of Matlab, interfacing to C or Fortran, Extending Matlab with Java and integrating Matlab with Windows using Active X. 7 Chapters are devoted to Graphics, Interface, Movies. 9 Chapters are devoted to Topics that a modern Scientist or Engineer would need to know to take advantage of Matlab: ODEs, Optimization, Fourier Analysis. MM6 covers the topics in detail. Other chapters really get down to the nitty gritty of the Matlab programming language.
I believe that MM6 is ideal for an Engineer/Scientist who is looking for a book to take him or her from the Apprentice to a Journeyman level in Matlab. Beyond that, the books would have to become more specialty (Chem E, Controls,…) orientated. This will get you to the plane where you can then focus on your specialty.

18 of 19 people found the following review helpful.
MatLab programming
By Ana R.
I use this book everyday. It is easy to find what you need right away. Although, MatLab has demos that you can use to write programs or m-scripts, the book has features that are not in the demos that will make writing scripts much easier. It doesn’t go into great detail with more difficult plots but allows for the those who just need 1-D, 2-D and simple 3-D plots to plot data points easily and fast. This is definitely the bible for first time users of MatLab.

See all 54 customer reviews…

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