r11402 - /1.3/maths_fns/frame_order_matrix_ops.py -- August 04, 2010 - 14:30

Author: bugman
Date: Wed Aug  4 14:30:13 2010
New Revision: 11402

URL: http://svn.gna.org/viewcvs/relax?rev=11402&view=rev
Log:
Removal of the reduce_alignment_tensor_reverse() frame order function.

This is not being used, and is of no use!


Modified:
    1.3/maths_fns/frame_order_matrix_ops.py

Modified: 1.3/maths_fns/frame_order_matrix_ops.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/maths_fns/frame_order_matrix_ops.py?rev=11402&r1=11401&r2=11402&view=diff
==============================================================================
--- 1.3/maths_fns/frame_order_matrix_ops.py (original)
+++ 1.3/maths_fns/frame_order_matrix_ops.py Wed Aug  4 14:30:13 2010
@@ -1227,56 +1227,6 @@
     red_tensor[4] = red_tensor[4] + (D[4, 8] + D[5, 7])*A[4]
 
 
-def reduce_alignment_tensor_reverse(D, A, red_tensor):
-    """Calculate the reduction in the alignment tensor caused by the Frame 
Order matrix.
-
-    This is the reverse rotation notation.
-
-    @param D:           The Frame Order matrix, 2nd degree to be populated.
-    @type D:            numpy 9D, rank-2 array
-    @param A:           The full alignment tensor in {Axx, Ayy, Axy, Axz, 
Ayz} notation.
-    @type A:            numpy 5D, rank-1 array
-    @param red_tensor:  The structure in {Axx, Ayy, Axy, Axz, Ayz} notation 
to place the reduced
-                        alignment tensor.
-    @type red_tensor:   numpy 5D, rank-1 array
-    """
-
-    # The reduced tensor element A0.
-    red_tensor[0] =                 (D[0, 0] - D[6, 6])*A[0]
-    red_tensor[0] = red_tensor[0] + (D[3, 3] - D[6, 6])*A[1]
-    red_tensor[0] = red_tensor[0] + 2.0*D[0, 3]*A[2]
-    red_tensor[0] = red_tensor[0] + 2.0*D[0, 6]*A[3]
-    red_tensor[0] = red_tensor[0] + 2.0*D[3, 6]*A[4]
-
-    # The reduced tensor element A1.
-    red_tensor[1] =                 (D[1, 1] - D[7, 7])*A[0]
-    red_tensor[1] = red_tensor[1] + (D[4, 4] - D[7, 7])*A[1]
-    red_tensor[1] = red_tensor[1] + 2.0*D[1, 4]*A[2]
-    red_tensor[1] = red_tensor[1] + 2.0*D[1, 7]*A[3]
-    red_tensor[1] = red_tensor[1] + 2.0*D[4, 7]*A[4]
-
-    # The reduced tensor element A2.
-    red_tensor[2] =                 (D[0, 1] - D[6, 7])*A[0]
-    red_tensor[2] = red_tensor[2] + (D[3, 4] - D[6, 7])*A[1]
-    red_tensor[2] = red_tensor[2] + (D[0, 4] + D[1, 3])*A[2]
-    red_tensor[2] = red_tensor[2] + (D[0, 7] + D[1, 6])*A[3]
-    red_tensor[2] = red_tensor[2] + (D[3, 7] + D[4, 6])*A[4]
-
-    # The reduced tensor element A3.
-    red_tensor[3] =                 (D[0, 2] - D[6, 8])*A[0]
-    red_tensor[3] = red_tensor[3] + (D[3, 5] - D[6, 8])*A[1]
-    red_tensor[3] = red_tensor[3] + (D[0, 5] + D[2, 3])*A[2]
-    red_tensor[3] = red_tensor[3] + (D[0, 8] + D[2, 6])*A[3]
-    red_tensor[3] = red_tensor[3] + (D[3, 8] + D[5, 6])*A[4]
-
-    # The reduced tensor element A4.
-    red_tensor[4] =                 (D[1, 2] - D[7, 8])*A[0]
-    red_tensor[4] = red_tensor[4] + (D[4, 5] - D[7, 8])*A[1]
-    red_tensor[4] = red_tensor[4] + (D[1, 5] + D[2, 4])*A[2]
-    red_tensor[4] = red_tensor[4] + (D[1, 8] + D[2, 7])*A[3]
-    red_tensor[4] = red_tensor[4] + (D[4, 8] + D[5, 7])*A[4]
-
-
 def rotate_daeg(matrix, R):
     """Rotate the given frame order matrix.