Is it possible to assign a table to a function for speed up?

In Maple (for example) it is possible to assign a table to a function in which outputs are collected during running, and can be used to speed up calculatios when we run the function twice or more times with the same argument(s). Are there anything like this in MATLAB?

[Mr M.]

If there is no built-in solution for this. How can I handle it in general? For example I can write my own table and my own function, for example 'myerf.mat' (data) and 'myerf.m' (function). But reading from the table can be slow also, if I open the file for every calling. But opening the myerf.mat data file just once, how can I acces the global variable in the function?

Answer 1

[Walter Roberson]

No. However starting in R2017a see memoize().

[Mr M.]

Is it possible to do this with the usage of persistent variables? Or it will be slow?

[Walter Roberson]

https://www.mathworks.com/matlabcentral/fileexchange/34565-micro-cache--memoize-cache-function-results

https://www.mathworks.com/matlabcentral/fileexchange/49949-cachedcall

https://blogs.mathworks.com/loren/2006/02/08/use-nested-functions-to-memoize-costly-functions/

See also https://www.mathworks.com/matlabcentral/answers/345464-recurrence-relation-for-any-given-n#comment_467043

Answer 2

[Jonathan A]

It is maybe a little bit late, but I implemented a class that encapsulates the functionnality of cachedcall. The class builds the dependency DAG of all functions and computes only the necessary ones. This allows to spare a lot of time in my current scientific workflow. Hope this helps.

https://de.mathworks.com/matlabcentral/fileexchange/71180-explore-scientific-workflow-management-tool