computeProjectionFromGrass

PURPOSE ^

compute projection matrix from grassmann coordinates

SYNOPSIS ^

function projectionMatrix = computeProjectionFromGrass(x, grassStruct)

DESCRIPTION ^

 compute projection matrix from grassmann coordinates

 THIS IS NO USER FUNCTION

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function projectionMatrix = computeProjectionFromGrass(x, grassStruct)
0002 % compute projection matrix from grassmann coordinates
0003 %
0004 % THIS IS NO USER FUNCTION
0005 
0006 % The elk-library: convex geometry applied to crystallization modeling.
0007 %   Copyright (C) 2013 Alexander Reinhold
0008 %
0009 % This program is free software: you can redistribute it and/or modify it
0010 %   under the terms of the GNU General Public License as published by the
0011 %   Free Software Foundation, either version 3 of the License, or (at your
0012 %   option) any later version.
0013 %
0014 % This program is distributed in the hope that it will be useful, but
0015 %   WITHOUT ANY WARRANTY; without even the implied warranty of
0016 %   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
0017 %   General Public License for more details.
0018 %
0019 % You should have received a copy of the GNU General Public License along
0020 %   with this program.  If not, see <http://www.gnu.org/licenses/>.
0021 
0022 %% projection matrix in scaled-PCA space
0023 % set tangent space in grassmann manifold (see documentation for details)
0024 tanMatrix = grassStruct.baseNull * reshape(x, ...
0025             grassStruct.nDim - grassStruct.targetDim, ...
0026             grassStruct.targetDim);
0027 [U S V] = svd(tanMatrix,'econ');
0028 baseMatrix = grassStruct.baseRange * V * diag(cos(diag(S))) * V'...
0029            +  U * diag(sin(diag(S))) * V';
0030 
0031 % we check orthonormality by comparing (baseMatrix'*baseMatrix) which should
0032 %   result in a unity matrix by summing up all squarred matrix elements of
0033 %   the difference:
0034 if abs(norm(baseMatrix'*baseMatrix - eye(size(baseMatrix,2)),'fro')) > grassStruct.zerotol
0035     error('elk:decomposition:numericalError', ['The basis obtained from ' ...
0036         'the Grassmann manifold is not orthogonal. This should not happen.']);
0037     % This would be the code to obtain an orthonormal baseMatrix again:
0038     baseMatrix = orth(baseMatrix);  
0039 end
0040 
0041 % transform basis to real-data space
0042 baseMatrix = grassStruct.mapToRealSpace * baseMatrix;
0043 % after this coordinate transformation, the base Matrix is NOT orthonormal
0044 %   anymore and the projection must be computed as:
0045 projectionMatrix = baseMatrix*inv(baseMatrix'*baseMatrix)*baseMatrix';

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