the orthogonal knapsack problem asks for a packing of a selection
with maximal profit into the unit cube. We restrict the items to
hypercube shapes and derive a (5/4 + epsilon) for the two-dimensional
case, i.e., square packing. In a second step we generalize our
result to a ((2^d+1)/2^d + epsilon)-approximation for d-dimensional
packing.