Programming and Data Types

Maximizing MATLAB Performance

This chapter describes techniques that often improve the execution speed and memory management of MATLAB code. It covers the following topics:

Techniques for Improving Performance	How to improve M-file performance by vectorizing loops, preallocating arrays, etc.
Performance Acceleration	Some M-file coding practices to use, and some to avoid, in getting the best performance out of MATLAB
Sample Accelerated Programs	Sample M-file programs written to maximize MATLAB code acceleration
Measuring Performance	Using the MATLAB Profiler utility to tune your programs for optimal performance.
Making Efficient Use of Memory	Conserving memory; platform-specific memory handling, "Out of Memory" errors.

Querying Which Method MATLAB Will Call Techniques for Improving Performance