relax SVN archive

Molecular dynamics by NMR data analysis

Brought to you by: edauvergne, troelslinnet

Commit [r25453] Maximize Restore History

Added a script and log for calculating the numerical covariance matrix for an exponential curve.

This uses the data at http://thread.gmane.org/gmane.science.nmr.relax.devel/6807/focus=6840 and
calculates the covariance matrix via the Jacobian calculated using the numdifftools.Jacobian object
construct and obtain the matrix, both at the minimum and at a point away from the minimum. The
covariance is calculated as inv(J^T.W.J).

Authored by: bugman 2014-08-29

Browse code at this revision

Parent: [r25452]

Child: [r25454]

added	/trunk/test_suite/shared_data/curve_fitting/numeric_topology/covariance_matrix.log
copied	/trunk/test_suite/shared_data/curve_fitting/numeric_topology/jacobian.py -> /trunk/test_suite/shared_data/curve_fitting/numeric_topology/covariance_matrix.py

/trunk/test_suite/shared_data/curve_fitting/numeric_topology/covariance_matrix.log Diff Switch to side-by-side view

/trunk/test_suite/shared_data/curve_fitting/numeric_topology/jacobian.py to /trunk/test_suite/shared_data/curve_fitting/numeric_topology/covariance_matrix.py

File was copied.