Category Archives: Stock Matlab function

130 relevant articles found:

Matlab compilation quirks – take 2

A few hard-to-trace quirks with Matlab compiler outputs are explained.

Categories: Guest bloggers, High risk of breaking in future versions, Stock Matlab function, Toolbox, Undocumented feature
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Additional license data

Additional meta-data about installed toolboxes can be retrieved in Matlab.

Categories: High risk of breaking in future versions, Stock Matlab function, Undocumented feature, Undocumented function
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5 Comments

Parsing XML strings

Matlab’s xmlread function cannot process XML data directly, but this can easily be overcome.

Categories: Low risk of breaking in future versions, Semi-documented feature, Stock Matlab function
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2 Comments

Quirks with parfor vs. for

Parallelizing loops with Matlab’s parfor might generate unexpected results. Users beware!

Categories: Guest bloggers, Medium risk of breaking in future versions, Memory, Stock Matlab function, Undocumented feature
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Sending email/text messages from Matlab

Sending emails and SMS (text) messages from Matlab is easy, once you know a few quirks.

Categories: GUI, Java, Medium risk of breaking in future versions, Semi-documented feature, Stock Matlab function
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Afterthoughts on implicit expansion

The new implicit expansion feature of Matlab R2016b can break user code in unexpected ways.

Categories: Low risk of breaking in future versions, Stock Matlab function, Undocumented feature
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11 Comments

Customizing axes part 5 – origin crossover and labels

The axes rulers (axles) can be made to cross-over at any x,y location within the chart.

Categories: Handle graphics, Low risk of breaking in future versions, Stock Matlab function, Undocumented feature
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rmfield performance

The performance of the builtin rmfield function (as with many other builtin functions) can be improved by simple profiling.

Categories: Guest bloggers, Low risk of breaking in future versions, Stock Matlab function
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Viewing saved profiling results

We can easily use saved profiling results to analyze, view and compare profiling results of multiple runs.

Categories: Desktop, Low risk of breaking in future versions, Semi-documented function, Stock Matlab function, Undocumented feature
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Convolution performance

Matlab’s internal implementation of convolution can often be sped up significantly using the Convolution Theorem.

Categories: Low risk of breaking in future versions, Stock Matlab function, Undocumented feature
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4 Comments