Abstract
The problem under study is, given a finite set of vectors in a normed vector space, find a subset which maximizes the norm of the vector sum. For each $${{\ell }_{p}}$$ norm, $$p \in [1,\infty )$$ , the problem is proved to have an inapproximability bound in the class of polynomial-time algorithms. For an arbitrary normed space of dimension $$O(logn)$$ , a randomized polynomial-time approximation scheme is proposed.
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More From: Computational Mathematics and Mathematical Physics
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