Matlab Version & mkl_optimizer

[Tomo Yokoyama]

Hi,

I am using Matlab R2022a Update 5 (9.12.0.2039608), 64-bit.

When I tried to run 'mkl_optimizer', I am getting the following message from Matlab;

Error using loadlibrary
Supported compiler not detected. You can install the freely available MinGW-w64 C/C++ compiler; see Install MinGW-w64
Compiler. For more options, visit https://www.mathworks.com/support/compilers.

Error in loadlibrary

Error in mkl_optimizer (line 27)
        loadlibrary([path_lib,'custom_mkl.dll'],'mkl_custom.h');

What is the supported Matlab version for Matlab uncertainty library?

Let me know.

Thanks

[Michael Wollensack METAS]

Hi,

just try to download and install MinGW, see

https://ch.mathworks.com/de/support/requirements/supported-compilers.html

The loadlibrary function of MATLAB needs this compiler.

Regards

Michael

[Tomo Yokoyama]

Hi, Michael

After downloading  MinGW-w64 C/C++ compiler, I can run your example in Matlab.  Thanks for your help.

Now,  I have a probelm with complex data.

When I input complex data, I saw the error,  "Complex data is not supported in libpointer objects".

To use mkl_optimizer() with complex data, how can I re-organize the data, both 'Ideal' (s), 'Measured' (m)and the estimated error term (x1) in your previous example?  Order the real / Imag parts in the same order as before?

Or run the mkl_optimizer() with real parts, and with imaginary parts, separately?

Thanks for your help in advance.

[Michael Wollensack METAS]

Hi,

I would do  it like that:

>> a

a =

   0.8147 + 0.6324i
   0.9058 + 0.0975i
   0.1270 + 0.2785i
   0.9134 + 0.5469i

>> a2 = [real(a) imag(a)];
>> a3 = a2(:)

a3 =

    0.8147
    0.9058
    0.1270
    0.9134
    0.6324
    0.0975
    0.2785
    0.5469

>> 

Hope this helps

Regards

Michael