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74
The maximum edge biclique problem is npcomplete
 Discrete Appl. Math
, 2003
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Algorithmic Graph Minor Theory: Decomposition, Approximation, and Coloring
 In 46th Annual IEEE Symposium on Foundations of Computer Science
, 2005
"... At the core of the seminal Graph Minor Theory of Robertson and Seymour is a powerful structural theorem capturing the structure of graphs excluding a fixed minor. This result is used throughout graph theory and graph algorithms, but is existential. We develop a polynomialtime algorithm using topolog ..."
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Cited by 46 (12 self)
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At the core of the seminal Graph Minor Theory of Robertson and Seymour is a powerful structural theorem capturing the structure of graphs excluding a fixed minor. This result is used throughout graph theory and graph algorithms, but is existential. We develop a polynomialtime algorithm using topological graph theory to decompose a graph into the structure guaranteed by the theorem: a cliquesum of pieces almostembeddable into boundedgenus surfaces. This result has many applications. In particular, we show applications to developing many approximation algorithms, including a 2approximation to graph coloring, constantfactor approximations to treewidth and the largest grid minor, combinatorial polylogarithmicapproximation to halfintegral multicommodity flow, subexponential fixedparameter algorithms, and PTASs for many minimization and maximization problems, on graphs excluding a fixed minor. 1.
Feedback set problems
 HANDBOOK OF COMBINATORIAL OPTIMIZATION
, 1999
"... ABSTRACT. This paper is a short survey of feedback set problems. It will be published in ..."
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Cited by 39 (1 self)
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ABSTRACT. This paper is a short survey of feedback set problems. It will be published in
Drawing on Physical Analogies
, 2001
"... in Sections 4.2 and 4.3. An asset of physical modeling that is often overlooked is its inherent exibility. For this reason, we conclude this chapter by listing examples of model speci cations tailored to speci c layout objectives. 4.1 The Springs Given a connected undirected graph with no partic ..."
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Cited by 27 (2 self)
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in Sections 4.2 and 4.3. An asset of physical modeling that is often overlooked is its inherent exibility. For this reason, we conclude this chapter by listing examples of model speci cations tailored to speci c layout objectives. 4.1 The Springs Given a connected undirected graph with no particular background information, the following two criteria of readable layout seem to be generally agreed upon for the conventional twodimensional straightline representation. 1. Vertices should spread well on the page. 2. Adjacent vertices should be close. Only intuitive explanations can be oered. While uniform vertex distribution reduces clutter, the implied uniform edge lengths leave an undistorted impression of the graph. Since \clutter" and \distortion" already have physical connotations, it seems fairly natural to start thinking of a more speci c physical analogy. We are used to observing even spacing between repelling objects. This makes it natural to imagine vertices behaving l
Equivalence of Local Treewidth and Linear Local Treewidth and its Algorithmic Applications
 In Proceedings of the 15th ACMSIAM Symposium on Discrete Algorithms (SODA’04
, 2003
"... We solve an open problem posed by Eppstein in 1995 [14, 15] and reenforced by Grohe [16, 17] concerning locally bounded treewidth in minorclosed families of graphs. A graph has bounded local treewidth if the subgraph induced by vertices within distance r of any vertex has treewidth bounded by a f ..."
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Cited by 27 (10 self)
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We solve an open problem posed by Eppstein in 1995 [14, 15] and reenforced by Grohe [16, 17] concerning locally bounded treewidth in minorclosed families of graphs. A graph has bounded local treewidth if the subgraph induced by vertices within distance r of any vertex has treewidth bounded by a function of r (not n). Eppstein characterized minorclosed families of graphs with bounded local treewidth as precisely minorclosed families that minorexclude an apex graph, where an apex graph has one vertex whose removal leaves a planar graph. In particular, Eppstein showed that all apexminorfree graphs have bounded local treewidth, but his bound is doubly exponential in r, leaving open whether a tighter bound could be obtained. We improve this doubly exponential bound to a linear bound, which is optimal. In particular, any minorclosed graph family with bounded local treewidth has linear local treewidth. Our bound generalizes previously known linear bounds for special classes of graphs proved by several authors. As a consequence of our result, we obtain substantially faster polynomialtime approximation schemes for a broad class of problems in apexminorfree graphs, improving the running time from .
Approximation Algorithms for Classes of Graphs Excluding SingleCrossing Graphs as Minors
"... Many problems that are intractable for general graphs allow polynomialtime solutions for structured classes of graphs, such as planar graphs and graphs of bounded treewidth. ..."
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Cited by 26 (16 self)
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Many problems that are intractable for general graphs allow polynomialtime solutions for structured classes of graphs, such as planar graphs and graphs of bounded treewidth.
PrimalDual Approximation Algorithms for Feedback Problems in Planar Graphs
 IPCO '96
, 1996
"... Given a subset of cycles of a graph, we consider the problem of finding a minimumweight set of vertices that meets all cycles in the subset. This problem generalizes a number of problems, including the minimumweight feedback vertex set problem in both directed and undirected graphs, the subset fee ..."
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Cited by 22 (3 self)
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Given a subset of cycles of a graph, we consider the problem of finding a minimumweight set of vertices that meets all cycles in the subset. This problem generalizes a number of problems, including the minimumweight feedback vertex set problem in both directed and undirected graphs, the subset feedback vertex set problem, and the graph bipartization problem, in which one must remove a minimumweight set of vertices so that the remaining graph is bipartite. We give a 9/4approximation algorithm for the general problem in planar graphs, given that the subset of cycles obeys certain properties. This results in 9/4approximation algorithms for the aforementioned feedback and bipartization problems in planar graphs. Our algorithms use the primaldual method for approximation algorithms as given in Goemans and Williamson [16]. We also show that our results have an interesting bearing on a conjecture of Akiyama and Watanabe [2] on the cardinality of feedback vertex sets in planar graphs.
Load/Store Range Analysis for Global Register Allocation
 Proc. of the SIGPLAN Conference on Programming Language Design and Implementation
, 1994
"... Live range splitting techniques improve global register allocation by splitting the live ranges of variables into segments that are individually allocated registers. Load/store range analysis is a new technique for live range splitting that is based on reaching definition and live variable analyses. ..."
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Cited by 20 (0 self)
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Live range splitting techniques improve global register allocation by splitting the live ranges of variables into segments that are individually allocated registers. Load/store range analysis is a new technique for live range splitting that is based on reaching definition and live variable analyses. Our analysis localizes the profits and the register requirements of every access to every variable to provide a fine granularity of candidates for register allocation. Experiments on a suite of C and FORTRAN benchmark programs show that a graph coloring register allocator operating on load/store ranges often provides better allocations than the same allocator operating on live ranges. Experimental results also show that the computational cost of using load/store ranges for register allocation is moderately more than the cost of using live ranges. 1 Introduction Register allocation maps variables in an intermediate language program to either registers or memory locations in order to minimiz...
New graph bipartizations for doubleexposure, bright field alternating phaseshift mask layout
 IN PROC. ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE
, 2001
"... We describe new graph bipartization algorithms for layout modification and phase assignment of brightfield alternating phaseshifting masks (AltPSM) [25]. The problem of layout modification for phaseassignability reduces to the problem of making a certain layoutderived graph bipartite (i.e., 2col ..."
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Cited by 18 (2 self)
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We describe new graph bipartization algorithms for layout modification and phase assignment of brightfield alternating phaseshifting masks (AltPSM) [25]. The problem of layout modification for phaseassignability reduces to the problem of making a certain layoutderived graph bipartite (i.e., 2colorable). Previous work [3] solves bipartization optimally for the dark field alternating PSM regime. Only one degree of freedom is allowed (and relevant) for such a bipartization: edge deletion, which corresponds to increasing the spacing between features in order to remove phase conflict. Unfortunately, darkfield PSM is used only for contact layers, due to limitations of negative photoresists. Poly and metal layers are actually created using positive photoresists and brightfield masks. In this paper, we define a new graph bipartization formulation that pertains to the more technologically relevant brightfield regime. Previous work [3] does not apply to this regime. This formulation allows two degrees of freedom for layout perturbation: (i) increasing the spacing between features, and (ii) increasing the width of critical features. Each of these corresponds to node deletion in a new layoutderived graph that we define, called the feature graph. Graph bipartization by node deletion asks for a minimum weight node set A such that deletion of A makes the graph bipartite. Unlike bipartization by edge deletion, this problem is NPhard. We investigate several practical heuristics for the node deletion bipartization of planar graphs, including one that has 9/4 approximation ratio. Computational experience with industrial VLSI layout benchmarks shows promising results.
Approximations For The Maximum Acyclic Subgraph Problem
 Information Processing Letters
, 1994
"... : Given a directed graph G = (V; A), the maximum acyclic subgraph problem is to compute a subset, A 0 , of arcs of maximum size or total weight so that G 0 = (V; A 0 ) is acyclic. We discuss several approximation algorithms for this problem. Our main result is an O(jAj + d 3 max ) algorithm ..."
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Cited by 18 (1 self)
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: Given a directed graph G = (V; A), the maximum acyclic subgraph problem is to compute a subset, A 0 , of arcs of maximum size or total weight so that G 0 = (V; A 0 ) is acyclic. We discuss several approximation algorithms for this problem. Our main result is an O(jAj + d 3 max ) algorithm that produces a solution with at least a fraction 1=2+\Omega\Gamma3 = p dmax ) of the number of arcs in an optimal solution. Here, d max is the maximum vertex degree in G. 1 Introduction Given a directed graph G = (V; A), V = f1; :::; ng, with arc weights w ij ? 0 (i; j) 2 A, the maximum acyclic subgraph problem is to find a subset A 0 ae A such that G 0 = (V; A 0 ) is acyclic and w(A 0 ) = P (i;j)2A 0 w ij is maximized. An alternative statement of this problem (the minimum feedback arc set problem) requires to find a minimum weight subset A 00 ae A such that every (directed) cycle of G contains at least one arc in A 00 . The problem is NP hard [Kp]. It belongs to the clas...