Medir y crear perfiles de códigos

Measure the Performance of Your Code

Use the timeit function or the stopwatch timer functions, tic and toc, to time how long your code takes to run.

Profile Your Code to Improve Performance

Use the Profiler to measure the time it takes to run your code and identify which lines of code consume the most time or which lines do not run.

Determine Code Coverage Using the Profiler

To determine how much of a file MATLAB executes when you profile it, run the Coverage Report.

Mejorar el rendimiento

Techniques to Improve Performance

To speed up the performance of your code, there are several techniques that you can consider.

• Preallocation
• Vectorization

Identificar y reducir los requisitos de memoria

How MATLAB Allocates Memory

Understand how MATLAB allocates memory to write code that uses memory more efficiently.

Strategies for Efficient Use of Memory

Reduce memory usage in your programs, use appropriate data storage, avoid fragmenting memory, and reclaim used memory.

Avoid Unnecessary Copies of Data

MATLAB can apply memory optimizations when passing function inputs by value.

Resolve “Out of Memory” Errors

MATLAB returns an error whenever it requests a segment of memory from the operating system that is larger than what is available.