Tim created another superb solution. The highlights are an elegant center of square's determination using ndgrid. The crux of his method is a convolution for each square not using "same" with an interesting centroid kernel. The comparison between all square convolutions for all rotations utilizes a concise norm metric function. The method should work on non-binary images. The best six matches from the 180x180 upper triangle error array are handily converted into the output format. Thank You Tim for this elegant solution.
Prime factor digits
Back to basics 10 - Max Float
Back to basics 22 - Rotate a matrix
Sum of diagonal of a square matrix
Travelling Salesman Problem (TSP)
Mastermind II: Solve in 8 or less
Vector Linear sum: (p1-m1)V1+(p2-m2)V2+...(pK-mk)Vk
Cody Matlab Version
USC Spring 2012 ACM: Armageddon
Hack not this Test Suite you will
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