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MATLAB PROGRAMMING TECHNIQUES

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COURSE DETAILS

This two-day course provides hands-on experience using the features in the
MATLAB® language to write efficient, robust, and well-organized code. These
concepts form the foundation for writing full applications, developing
algorithms, and extending built-in MATLAB capabilities. Details of performance
optimization, as well as tools for writing, debugging, and profiling code are
covered.
 
Topics include:
 
 * Structuring data
   
 * Managing data efficiently
 * Utilizing development tools
 * Structuring code
 * Creating robust applications
 * Verifying application behavior


DAY 1 OF 2

--------------------------------------------------------------------------------

STRUCTURING DATA

Objective: Explore choices for storing data within a MATLAB application.

 * Data types
 * Concatenation and conversion
 * Cell and structure arrays
 * Extracting data

MANAGING DATA EFFICIENTLY

Objective: Use common techniques for improving performance when storing,
accessing, and processing data.

 * Preallocation
 * Vectorization
 * Memory management
 * Objects and classes

UTILIZING DEVELOPMENT TOOLS

Objective: Use integrated tools to manage code, diagnose problems, debug
applications, and measure performance.

 * Managing files with Projects
 * Finding potential problems in code
 * Debugging code
 * Assessing code performance
 * Using Source Control


DAY 2 OF 2

--------------------------------------------------------------------------------

CREATING ROBUST APPLICATIONS

Objective: Create robust applications that withstand unexpected input and
produce meaningful errors. Use built-in MATLAB functions and programming
constructs, and employ standard techniques for handling error conditions.

 * Creating flexible function interfaces
 * Checking for warning and error conditions
 * Working with the try-catch construct and MException objects

STRUCTURING CODE

Objective: Modularize code into readable and maintainable functions. Explore the
different function types available in the MATLAB language and the tradeoffs
associated with each type. See how function type affects the performance and
reliability of the code.

 * Private functions
 * Local functions
 * Nested functions
 * Function handles
 * Precedence rules
 * Comparison of function types

VERIFYING APPLICATION BEHAVIOR

Objective: Create tests to verify that code meets requirements.

 * Writing test scripts
 * Running test scripts
 * Using test functions

APPENDIX A: CREATING A TOOLBOX

Objective: Package code and documentation into a custom toolbox for distribution
to other users.

 * Creating documentation
 * Packaging the toolbox
 * Distributing the toolbox

Level: Intermediate

Prerequisites:

 * MATLAB Fundamentals

Duration: 2 days

Languages: Deutsch, English, Français, 한국어

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     Self-Paced

This course is also offered in an online, self-paced format.

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     Self-Paced

This course is also offered in an online, self-paced format.

Learn more

You have access to MATLAB Programming Techniques in an online, self-paced
format.

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RELATED COURSES

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Use App Designer to lay out apps, interactively display and update graphics and
components, and create callback functions to control responsive graphical
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Object-Oriented Programming with MATLAB

Define robust, intuitive, and reusable data types; create maintainable and
extensible applications; make applications reliable and flexible; and enable
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computationally and data-intensive problems using multicore processors, GPUs,
and computer clusters.

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