It is easy to convert asynchronous (streaming) events into a blocked wait in Matlab.
Parallelizing loops with Matlab's parfor might generate unexpected results. Users beware!
Matlab's dual internal serialization/deserialization functions can be used to create duplicates of any object.
Accelerating MATLAB Performance (ISBN 9781482211290) is a book dedicated to improving Matlab performance (speed).
The clear function has some non-trivial effects on Matlab performance.
Matlab's delete function leaks memory and is also slower than the equivalent Java function.
The import function can be used to clarify Java code used in Matlab.
Copy-on-write and in-place data manipulations are very useful Matlab performance improvement techniques.
Several alternatives are explored for dynamic array growth performance in Matlab loops.
Preallocation is a standard Matlab speedup technique. Still, it has several undocumented aspects.