Menu

Commit [r25317]  Maximize  Restore  History

Added a script and log file for calculating the numerical gradient for an exponential curve.

This uses the data at http://thread.gmane.org/gmane.science.nmr.relax.devel/6807/focus=6840 and
calculates the Hessian using the numdifftools.Hessian object construct and obtain the matrix, both
at the minimum and at a point away from the minimum. The values will be used to construct a unit
test to check the C module implementation.

bugman 2014-08-26

added /trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log
copied /trunk/test_suite/shared_data/curve_fitting/numeric_gradient/integrate.py -> /trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.py
/trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log Diff Switch to side-by-side view
Loading...
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.