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Molecular dynamics by NMR data analysis

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Commit [r25275] 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 gradient using the scipy.misc.derivative() function 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.

Authored by: bugman 2014-08-26

Browse code at this revision

Parent: [r25274]

Child: [r25276]

added	/trunk/test_suite/shared_data/curve_fitting/numeric_gradient
added	/trunk/test_suite/shared_data/curve_fitting/numeric_gradient/integrate.log
added	/trunk/test_suite/shared_data/curve_fitting/numeric_gradient/integrate.py

/trunk/test_suite/shared_data/curve_fitting/numeric_gradient

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Molecular dynamics by NMR data analysis

Commit [r25275] Maximize Restore History

/trunk/test_suite/shared_data/curve_fitting/numeric_gradient

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/trunk/test_suite/shared_data/curve_fitting/numeric_gradient/integrate.py Diff Switch to side-by-side view