Simple demo code for the paper
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems, F. Bernard, C. Theobalt, M. Moeller, IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June, 2018
If you use this code you are required to cite this paper.
The code provides the implementation of a convex relaxation of the quadratic assignment problem (QAP), which reads min_X X(:)'WX(:) s.t. X is a permutation matrix
Here, X is an n-by-n permutation matrix, and W is an n^2-by-n^2 matrix that defines the QAP. For further details see the above paper.