mailr25318 - in /trunk/test_suite/shared_data/curve_fitting/numeric_gradient: Hessian.log Hessian.py


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Posted by edward on August 26, 2014 - 19:49:
Author: bugman
Date: Tue Aug 26 19:49:36 2014
New Revision: 25318

URL: http://svn.gna.org/viewcvs/relax?rev=25318&view=rev
Log:
Fixes for the Hessian.py script for numerical integrating the Hessian for an 
exponential curve.


Modified:
    trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log
    trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.py

Modified: 
trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log
URL: 
http://svn.gna.org/viewcvs/relax/trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log?rev=25318&r1=25317&r2=25318&view=diff
==============================================================================
--- trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log   
  (original)
+++ trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.log   
  Tue Aug 26 19:49:36 2014
@@ -3,12 +3,12 @@
 On-minimum:
 
 The Hessian at [1.0, 1000.0] is:
-[[  4.72548021e+03   6.00949488e-13]
- [  6.00949488e-13   0.00000000e+00]]
+[[  4.72548021e+03  -3.61489336e+00]
+ [ -3.61489336e+00   2.31293027e-02]]
 
 
 Off-minimum:
 
 The Hessian at [2.0, 500.0] is:
-[[ -4.11964848e+02   2.70730426e-09]
- [  2.70730426e-09   0.00000000e+00]]
+[[ -4.11964848e+02   7.22678641e-01]
+ [  7.22678641e-01   2.03731472e-02]]

Modified: 
trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.py
URL: 
http://svn.gna.org/viewcvs/relax/trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.py?rev=25318&r1=25317&r2=25318&view=diff
==============================================================================
--- trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.py    
  (original)
+++ trunk/test_suite/shared_data/curve_fitting/numeric_gradient/Hessian.py    
  Tue Aug 26 19:49:36 2014
@@ -9,10 +9,10 @@
 def func(params):
     """Calculate the chi-squared value."""
 
-    global times, I, I0, errors
+    global times, I, errors
 
     # Unpack the parameters.
-    R, IO = params
+    R, I0 = params
 
     # The intensities.
     back_calc = []




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