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--- numexercises7_14 [2014/07/14 08:07]
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   * In your favorite programming language, make a program to construct a real symmetric $NxN$ matrix. Diagonalize it using the appropriate LAPACK or GSL routine, and write out some number of the lowest eigenvalues. (Suggestion: You might find it useful to use Mathematica (available on the ECT* computers) to diagonalize a small matrix that you can benchmark against.) This will help you test that you've linked to the GSL or LAPACK library.
-* Use your simple program as an opportunity to play with Git. Try out some of the commands covered in Morten or Nicolas's lecture slides {{:computing.pdf|}} {{:talentdftguides.pdf|}}
+  * Install Git, and try out some of the commands covered in Morten or Nicolas's lecture slides ({{:computing.pdf|}} {{:talentdftguides.pdf|}}) for your code in the first problem.
+  * The code   calculates the relative matrix elements $\langle nl|V|n'l\rangle$ in HO states. From this, construct a subroutine that returns the properly normalized $r$-space HO wf's. For some basic background on HO wf's, see  {{:ho_spherical.pdf| here}}.
+  *

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