I'm trying to find a way to calculate the eigenvalues and eigenvectors for a square symmetrical matrix. I have used MATLAB to do this before and the solution was as simple as;
[V,D] = eig(A)
I'm wondering if there is a simple solution like this in c++. I am aware there is no function to calculate eigensolutions in the c++ math library, but is there an alternative library I can simply "include". I have tried searching the web, and have come across lots of matrix libraries, but I don't understand how to go about using them in my program.

Any help you can offer me would be really appreciated.

First pick a library, maybe some of these search results. Read up on some and see which one fits you best. After
you have picked a library you will need to install the library into visual studio. You will need to add some directories into visual studio. First
pick a library then worry about installing it.

First pick a library, maybe some of these search results. Read up on some and see which one fits you best. After
you have picked a library you will need to install the library into visual studio. You will need to add some directories into visual studio. First
pick a library then worry about installing it.

I have researched this a bit and I was going to use the NEWMAT library (http://www.robertnz.net/), however if anyone has specific instructions for another library I've no problem using it :)

NEWMAT comes as a zipped file of .h and .cpp files but I don't know what to do with these? how to use them?

Do you need eigenvectors and eigenvalues?
Is your matrix real?
I translated some code into C++. It takes a real symmetric matrix and computes eigenvalues only. It uses the old method of creating dynamic arrays, checking for NULL, which is not the latest and greatest technique, but otherwise the program works:

Hello there guys! I must implement a linked list in assembly (using MIPS). We're supposed to dynamically allocate memory for the nodes. This is what I am asked to do: ...