Matlab compilation quirks – take 2
A few hard-to-trace quirks with Matlab compiler outputs are explained.
A few hard-to-trace quirks with Matlab compiler outputs are explained.
Additional meta-data about installed toolboxes can be retrieved in Matlab.
Matlab's xmlread function cannot process XML data directly, but this can easily be overcome.
Parallelizing loops with Matlab's parfor might generate unexpected results. Users beware!
Sending emails and SMS (text) messages from Matlab is easy, once you know a few quirks.
The new implicit expansion feature of Matlab R2016b can break user code in unexpected ways.
The axes rulers (axles) can be made to cross-over at any x,y location within the chart.
The performance of the builtin rmfield function (as with many other builtin functions) can be improved by simple profiling.
We can easily use saved profiling results to analyze, view and compare profiling results of multiple runs.
Matlab's internal implementation of convolution can often be sped up significantly using the Convolution Theorem.