Approximation Algorithms for Mixed Fractional Packing and Covering Problems

We study general mixed fractional packing and covering problems (MPCe ) of the following form: Given a vector $f: B \rightarrow {\rm IR}^{M}_{+}$ of M nonnegative continuous convex functions and a vector $g: B \rightarrow {\rm IR}^{M}_{+}$ of M nonnegative continuous concave functions, two M – dimensional nonnegative vectors a,b, a nonempty convex compact set B and a relative tolerance e ∈ (0,1), find an approximately feasible vector x ∈ B such that f(x) ≤ (1 + e) a and g(x) ≥ (1 – e) b or find a proof that no vector is feasible (that satisfies x ∈ B, f(x) ≤ a and g(x) ≥ b).

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