2015
DOI: 10.1137/130936464
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Tropicalizing the Simplex Algorithm

Abstract: We develop a tropical analog of the simplex algorithm for linear programming. In particular, we obtain a combinatorial algorithm to perform one tropical pivoting step, including the computation of reduced costs, in O(n(m + n)) time, where m is the number of constraints and n is the dimension.2010 Mathematics Subject Classification. 14T05, 90C05.

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Cited by 47 publications
(122 citation statements)
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“…A proper intersection of multiplicity 4 can (up to symmetry) only occur on an edge of slope (4,1). A line intersecting the open interior of such an edge cannot lift to a bitangent by Theorem 3.1.…”
Section: 2mentioning
confidence: 95%
“…A proper intersection of multiplicity 4 can (up to symmetry) only occur on an edge of slope (4,1). A line intersecting the open interior of such an edge cannot lift to a bitangent by Theorem 3.1.…”
Section: 2mentioning
confidence: 95%
“…One of them is how to find a point of a finite min-essential set S min (TP 2 ) that attains min y ′ {(x k ) T y ′ : y ′ ∈ TP 2 } and which min-essential set to choose. An option here is to exploit the tropical simplex method of Allamigeon, Benchimol, Gaubert and Joswig [1], which (under some generically true conditions imposed on TP 2 ) can find a point that attains min y ′ {(x k ) T y ′ : y ′ ∈ TP 2 } and belongs to the set of tropical basic points of TP 2 . The set of tropical basic points is finite and includes all extreme points [1] and hence all the minimal points of TP 2 , thus it is also a finite min-essential subset of TP 2 by Lemma 2.1.…”
Section: The Min-min and Max-min Problemmentioning
confidence: 99%
“…Step When f (x, y) = a T x ⊕ b T y, this procedure reduces the problem to a finite number of tropical linear programming problems solved, e.g., by the algorithms of [1,3,7]. Example 2.1 Consider the following numerical example in two-dimensional case.…”
Section: Proposition 23mentioning
confidence: 99%
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