Abstract
Under study are the two problems of choosing a subset of m vectors with the maximum norm of the sum of the elements from a set of n vectors in Euclidean space ℝ k . The vectors are assumed to have integer coordinates. Using the dynamic programming technique, some new optimal algorithms are suggested for solving the problems; these algorithms have pseudopolynomial time when the dimension of the space is fixed. The new algorithms have certain advantages over the availables: the vector subset problem can be solved faster for m < (k/2) k , while, after taking into account an additional restriction on the order of the vectors, the time complexity is k k−1 times less independently on m.
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