1999
DOI: 10.1007/3-540-48481-7_11
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Efficient Algorithms for Integer Programs with Two Variables per Constraint

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Cited by 13 publications
(40 citation statements)
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“…We also show that η(I) < 1, = 1, and > 1 can be checked in linear time. This theorem implies the existing results [2,14,29] that quadratic (i.e., TVPI) systems and Horn systems can be solved in pseudo-polynomial time, since quadratic systems and Horn systems are included in ILS = (γ) with γ ≤ 1, which will be discussed later.…”
Section: The Results Obtained In This Papersupporting
confidence: 66%
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“…We also show that η(I) < 1, = 1, and > 1 can be checked in linear time. This theorem implies the existing results [2,14,29] that quadratic (i.e., TVPI) systems and Horn systems can be solved in pseudo-polynomial time, since quadratic systems and Horn systems are included in ILS = (γ) with γ ≤ 1, which will be discussed later.…”
Section: The Results Obtained In This Papersupporting
confidence: 66%
“…When A is quadratic (also called TVPI, i.e., each row of A contains at most two nonzero elements) or Horn (i.e., each row of A contains at most one positive element), the ILS problem is known to be weakly NP-hard, but it can be solved in time polynomial in the input length and d, and hence in pseudo-polynomial time [20,14,29]. The best known bounds for quadratic and Horn systems require O(md) time [2] and O(n 2 md) time, respectively. For unit linear systems, i.e., A ∈ {0, −1, +1} m×n , it is known that the problem is still strongly NP-hard, but it can be solved in O(nm) [21] and O(n log n + m) time [27] if A is in addition quadratic, and can be solved in O(n 2 m) time [9,28] if A is in addition Horn.…”
Section: Integer Linear Systemsmentioning
confidence: 99%
“…We show that the equivalence between the paradigms continues to hold. We demonstrate the use of the extended frameworks on several algorithms: a 2.5-approximation algorithm for feedback vertex set in tournaments [16]; a 2-approximation algorithm for a noncovering problem called minimum 2-satisfiability [29,9]; and a 3-approximation algorithm for a bandwidth trading problem [15]. We show that the equivalence continues to hold in the maximization case.…”
Section: Our Resultsmentioning
confidence: 99%
“…Hochbaum et al [32] presented a 2-approximation algorithm for the two variables per constraint integer programming problem (2VIP) that generalizes min-2SAT. Later, Bar-Yehuda and Rawitz [9] presented a local ratio 2-approximation algorithm for 2VIP that is more efficient than the algorithm from [32]. On the special case of min-2SAT this algorithm is a variant of the Gusfield-Pitt algorithm.…”
Section: Minimum Weight 2-satisfiabilitymentioning
confidence: 99%
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