This paper investigates relationship between algebraic expressions and labeled graphs. We consider rhomboidal non-series-parallel graphs, specifically, a new digraph called a full square rhomboid. Our intent is to sim...
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Braess's paradox exposes a counterintuitive phenomenon that when travelers selfishly choose their routes in a network, removing links can improve overall network performance. Under the model of nonatomic selfish r...
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ISBN:
(纸本)9783662484333;9783662484326
Braess's paradox exposes a counterintuitive phenomenon that when travelers selfishly choose their routes in a network, removing links can improve overall network performance. Under the model of nonatomic selfish routing, we characterize the topologies of k-commodity undirected and directed networks in which Braess's paradox never occurs. Our results generalize Milchtaich's series-parallel characterization for the single-commodity undirected case.
The complexity of the maximum common subgraph problem in partial k-trees is still largely unknown. We consider the restricted case, where the input graphs are k-connected partial k-trees and the common subgraph is req...
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ISBN:
(纸本)9783662444658;9783662444641
The complexity of the maximum common subgraph problem in partial k-trees is still largely unknown. We consider the restricted case, where the input graphs are k-connected partial k-trees and the common subgraph is required to be k-connected. For biconnected outerplanar graphs this problem is solved and the general problem was reported to be tractable by means of tree decomposition techniques. We discuss key obstacles of tree decompositions arising for common subgraph problems that were ignored by previous algorithms and do not occur in outerplanar graphs. We introduce the concept of potential separators, i.e., separators of a subgraph to be searched that not necessarily are separators of the input graph. We characterize these separators and propose a polynomial time solution for series-parallel graphs based on SP-trees.
The minimum weight feedback vertex set problem (FVS) on series-parallel graphs can be solved in O(n) time by dynamic programming. This solution, however, does not provide a "nice" certificate of optimality. ...
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The minimum weight feedback vertex set problem (FVS) on series-parallel graphs can be solved in O(n) time by dynamic programming. This solution, however, does not provide a "nice" certificate of optimality. We prove a min-max relation for FVS on series-parallel graphs with no induced subdivision of K-2,K-3 (a class of graphs containing the outerplanar graphs), thereby establishing the existence of nice certificates for these graphs. Our proof relies on the description of a complete set of inequalities defining the feedback vertex set polytope of a series-parallel graph with no induced subdivision of K-2,K-3. We also prove that many of the inequalities described are facets of this polytope. (C) 2009 Elsevier B.V. All rights reserved.
Let G be a graph with a single source w, assigned a positive integer called the supply. Every vertex other than w is a sink, assigned a nonnegative integer called the demand. Every edge is assigned a positive integer ...
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Let G be a graph with a single source w, assigned a positive integer called the supply. Every vertex other than w is a sink, assigned a nonnegative integer called the demand. Every edge is assigned a positive integer called the capacity. Then a spanning tree T of G is called a spanning distribution tree if the capacity constraint holds when, for every sink v, an amount of flow, equal to the demand of v, is sent from w to v along the path in T between them. The spanning distribution tree problem asks whether a given graph has a spanning distribution tree or not. In the paper, we first observe that the problem is NP-complete even for series-parallel graphs, and then give a pseudo-polynomial time algorithm to solve the problem for a given series-parallel graph G. The computation time is bounded by a polynomial in n and D, where n is the number of vertices in G and D is the sum of all demands in G.
Let G be a simple graph in which each vertex v has a positive integer weight b(v) and each edge (v, w) has a nonnegative integer weight b(v, w). A bandwidth consecutive multicoloring of G assigns each vertex v a speci...
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Let G be a simple graph in which each vertex v has a positive integer weight b(v) and each edge (v, w) has a nonnegative integer weight b(v, w). A bandwidth consecutive multicoloring of G assigns each vertex v a specified number b(v) of consecutive positive integers so that, for each edge (v, w), all integers assigned to vertex v differ from all integers assigned to vertex w by more than b(v, w). The maximum integer assigned to a vertex is called the span of the coloring. In the paper, we first investigate fundamental properties of such a coloring. We then obtain a pseudo polynomial-time exact algorithm and a fully polynomial-time approximation scheme for the problem of finding such a coloring of a given series-parallel graph with the minimum span. We finally extend the results to the case where a given graph G is a partial k-tree, that is, G has a bounded tree-width. (C) 2013 Elsevier B.V. All rights reserved.
In the generalized max flow problem, the aim is to find a maximum flow in a generalized network, i.e., a network with multipliers on the arcs that specify which portion of the flow entering an arc at its tail node rea...
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In the generalized max flow problem, the aim is to find a maximum flow in a generalized network, i.e., a network with multipliers on the arcs that specify which portion of the flow entering an arc at its tail node reaches its head node. We consider this problem for the class of series-parallel graphs. First, we study the continuous case of the problem and prove that it can be solved using a greedy approach. Based on this result, we present a combinatorial algorithm that runs in O(nm+m log m) time, where m is the number of arcs, and a dynamic programming algorithm with running time O(m log m). For the integral version of the problem, which is known to be N P-complete, we present a pseudo-polynomial algorithm. (C) 2013 Elsevier B.V. All rights reserved.
Assume that a graph G has l sources, each assigned a non-negative integer called a supply, that all the vertices other than the sources are sinks, each assigned a non-negative integer called a demand, and that each ed...
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ISBN:
(纸本)9783319080161;9783319080154
Assume that a graph G has l sources, each assigned a non-negative integer called a supply, that all the vertices other than the sources are sinks, each assigned a non-negative integer called a demand, and that each edge of G is assigned a non-negative integer, called a capacity. Then one wishes to find a spanning forest F of G such that F consists of l trees, each tree T in F contains a source w, and the flow through each edge of T does not exceed the edge-capacity when a flow of an amount equal to a demand is sent from w to each sink in T along the path in T. Such a forest F is called a spanning distribution forest of G. In the paper, we first present a pseudo-polynomial time algorithm to find a spanning distribution forest of a given series-parallel graph, and then extend the algorithm for graphs with bounded tree-width.
We give an efficient encoding and decoding scheme for computing a compact representation of a graph in one of unordered reduced trees, cographs and series-parallel graphs. The unordered reduced trees are rooted trees ...
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We give an efficient encoding and decoding scheme for computing a compact representation of a graph in one of unordered reduced trees, cographs and series-parallel graphs. The unordered reduced trees are rooted trees in which (i) the ordering of children of each vertex does not matter, and (ii) no vertex has exactly one child. This is one of basic models frequently used in many areas. Our algorithm computes a bit string of length 2l - 1 for a given unordered reduced tree with l >= 1 leaves in O(l) time, whereas a known folklore algorithm computes a bit string of length 2n-2 for an ordered tree with n vertices. Note that in an unordered reduced tree, l >= n < 2l holds. To the best of our knowledge this is the first of such a compact representation for unordered reduced trees. From the theoretical point of view, the length of the representation gives us an upper bound of the number of unordered reduced trees with l leaves. Precisely, the number of unordered reduced trees with l leaves is at most 2(2l-2) for l >= 1. Moreover, the encoding and decoding can be done in linear time. Therefore, from the practical point of view, our representation is also useful to store a lot of unordered reduced trees efficiently. We also apply the scheme for computing a compact representation to cographs and series-parallel graphs. We show that each of cographs with n vertices has a compact representation in 2n - 1 bits, and the number of cographs with n vertices is at most 2(2n-1). The resulting number is close to the number of cographs with n vertices obtained by the enumeration for small n that approximates Cd-n/n(3)/(2), where C = 0.4126 ... and d = 3.5608 ... . series-parallel graphs are well-investigated in the context of the graphs of bounded treewidth. We give a method to represent a series-parallel graph with m edges in [2.5285m - 2] bits. Hence the number of series-parallel graphs with m edges is at most 2([2.5285m-2]). As far as the authors know, this is the first non-trivial r
In this paper we consider single-machine scheduling problems with position-dependent processing times, i.e., jobs whose processing times are an increasing or decreasing function of their positions in a processing sequ...
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In this paper we consider single-machine scheduling problems with position-dependent processing times, i.e., jobs whose processing times are an increasing or decreasing function of their positions in a processing sequence. In addition, the jobs are related by parallel chains and a series-parallel graph precedence constraints, respectively. It is shown that for the problems of minimization of the makespan polynomial algorithms exist. (C) 2012 Elsevier Inc. All rights reserved.
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