ACM Transactions on

Algorithms (TALG)

Latest Articles

Scale-Free Compact Routing Schemes in Networks of Low Doubling Dimension

We consider compact routing schemes in networks of low doubling dimension, where the doubling dimension is the least value α such that any ball... (more)

Distributed Algorithms for End-to-End Packet Scheduling in Wireless Ad Hoc Networks

Packet scheduling is a particular challenge in wireless networks due to interference from nearby transmissions. A distance-2 interference model serves... (more)

Fast Constructions of Lightweight Spanners for General Graphs

It is long known that for every weighted undirected n-vertex m-edge graph G = (V, E, ω), and every integer k ⩾ 1, there exists a ((2k... (more)

The Two-Edge Connectivity Survivable-Network Design Problem in Planar Graphs

Consider the following problem: given a graph with edge costs and a subset Q of vertices, find a minimum-cost subgraph in which there are two... (more)

LIMITS and Applications of Group Algebras for Parameterized Problems

The fastest known randomized algorithms for several parameterized problems use reductions to the k-MlD problem: detection of multilinear monomials of... (more)

Approximating Semi-matchings in Streaming and in Two-Party Communication

We study the streaming complexity and communication complexity of approximating unweighted semi-matchings. A semi-matching in a bipartite graph G... (more)

Optimal Orthogonal Graph Drawing with Convex Bend Costs

Traditionally, the quality of orthogonal planar drawings is quantified by the total number of bends or the maximum number of bends per edge. However,... (more)

A Simple and Efficient Algorithm for Computing Market Equilibria

We give a new mathematical formulation of market equilibria in exchange economies using an indirect utility function: the function of prices and... (more)

Families with Infants

Assume that a group of n people is going to an excursion and our task is to seat them into buses with several constraints each saying that a pair of people does not want to see each other in the same bus. This is a well-known graph coloring problem (with n being the number of vertices) and it can be solved in O*(2n) time by the... (more)

A Constant Factor Approximation Algorithm for Fault-Tolerant k-Median

In this article, we consider the fault-tolerant k-median problem and give the first constant factor approximation algorithm for it. In the... (more)

On the Expected Complexity of Voronoi Diagrams on Terrains

We investigate the combinatorial complexity of geodesic Voronoi diagrams on polyhedral terrains using a probabilistic analysis. Aronov et al. [2008]... (more)

All-Or-Nothing Generalized Assignment with Application to Scheduling Advertising Campaigns

We study a variant of the generalized assignment problem (gap), which we label all-or-nothing gap... (more)


In Memoriam: David S. Johnson

About TALG

The ACM Transactions on Algorithms (TALG) publishes original research of the highest quality dealing with algorithms that are inherently discrete and finite, and having mathematical content in a natural way, either in the objective or in the analysis.

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Forthcoming Articles
Maximizing k-Submodular Functions and Beyond

We consider the maximization problem in the value oracle model of functions defined on k-tuples of sets that are submodular in every orthant and r-wise monotone, where k>=2 and 1<=r<=k. We give an analysis of a deterministic greedy algorithm that shows that any such function can be approximated to a factor of 1/(1+r). For r = k, we give an analysis of a randomised greedy algorithm that shows that any such function can be approximated to a factor of 1/(1+Sqrt(k/2)). In the case of k=r=2, the considered functions correspond precisely to bisubmodular functions, in which case we obtain an approximation guarantee of 1/2. We show that, as in the case of submodular functions, this result is the best possible in both the value query model, and under the assumption that NP!=RP. Extending a result of Ando et al., we show that for any k>=3 submodularity in every orthant and pairwise monotonicity (i.e. r=2) precisely characterize k-submodular functions. Consequently, we obtain an approximation guarantee of 1/3 (and thus independent of k) for the maximization problem of k-submodular functions.

Data Structures for Path Queries

Nearest-Neighbor Searching Under Uncertainty II

Nearest-neighbor (NN) search, which returns the nearest neighbor of a query point in a set of points, is an important and widely studied problem in many fields, and it has wide range of applications. In many of them, such as sensor databases, location-based services, face recognition, and mobile data, the location of data is imprecise. We therefore study nearest neighbor queries in a probabilistic framework in which the location of each input point is specified as a probability density function. We present efficient algorithms for (i) computing all points that are nearest neighbors of a query point with nonzero probability; (ii) estimating, within a specified additive error, the probability of a point being the nearest neighbor of a query point; (iii) using it to return the point that maximizes the probability being the nearest neighbor, or all the points with probabilities greater than some threshold to be the NN.

Adaptive and Approximate Orthogonal Range Counting

We present three new results on one of the most basic problems in geometric data structures, 2-D orthogonal range counting. All the results are in the $w$-bit word RAM model. - It is well known that there are linear-space data structures for 2-D orthogonal range counting with worst-case optimal query time O(log n / loglog n). We give an O(n loglog n)-space adaptive data structure that improves the query time to O(loglog n+log k / loglog n), where k is the output count. When k=O(1), our bounds match the state of the art for the 2-D orthogonal range emptiness problem [Chan, Larsen, and Patrascu, SoCG 2011]. - We give an O(n loglog n)-space data structure for approximate 2-D orthogonal range counting that can compute a (1+delta)-factor approximation to the count in O(loglog n) time for any fixed constant delta>0. Again, our bounds match the state of the art for the 2-D orthogonal range emptiness problem. - Lastly, we consider the 1-D range selection problem, where a query in an array involves finding the kth least element in a given subarray. This problem is closely related to 2-D 3-sided orthogonal range counting. Recently, Jorgensen and Larsen [SODA 2011] presented a linear-space adaptive data structure with query time O(loglog n + log k / loglog n). We give a new linear-space structure that improves the query time to O(1 + log k / loglog n), exactly matching the lower bound proved by Jorgensen and Larsen.

Compressed Cache-Oblivious String B-tree

Improved Approximation Algorithms for Matroid and Knapsack Median Problems and Applications

We consider the {\em matroid median} problem~\cite{KrishnaswamyKNSS11}, wherein we are given a set of facilities with opening costs and a matroid on the facility-set, and clients with demands and connection costs, and we seek to open an independent set of facilities and assign clients to open facilities so as to minimize the sum of the facility-opening and client-connection costs. We give a simple 8-approximation algorithm for this problem based on LP-rounding, which improves upon the 16-approximation in~\cite{KrishnaswamyKNSS11}. We illustrate the power and versatility of our techniques by deriving: (a) an 8-approximation for the {\em two-matroid median} problem, a generalization of matroid median that we introduce involving two matroids; and (b) a 24-approximation algorithm for {\em matroid median with penalties}, which is a vast improvement over the 360-approximation obtained in~\cite{KrishnaswamyKNSS11}. We show that a variety of seemingly disparate facility-location problems considered in the literature---data placement problem, mobile facility location, $k$-median forest, metric uniform minimum-latency {\footnotesize \textsf{UFL}}---in fact reduce to the matroid median or two-matroid median problems, and thus obtain {\em improved} approximation guarantees for all these problems. Our techniques also yield an improvement for the knapsack median problem.

Inapproximability of the Multi-level Uncapacitated Facility Location Problem

Tight lower bound for the channel assignment problem

We study the complexity of the Channel Assignment problem. An open problem asks whether Channel Assignment admits an $O(c^n)$-time algorithm, for a constant $c$ independent of the weights on the edges. We answer this question in the negative i.e. we show that there is no $2^{o(n\log n)}$-time algorithm solving Channel Assignment unless the Exponential Time Hypothesis fails. Note that the currently best known algorithm works in time $O^*(n!) = 2^{O(n\log n)}$ so our lower bound is tight.

Tabulating Pseudoprimes and Tabulating Liars

This paper presents new algorithms for two problems related to the Miller-Rabin-Selfridge primality test. The first problem is to tabulate strong pseudoprimes to a fixed base $a$. Tabulating up to $x$ requires $O(x)$ multiplications, where previous methods required $O(x \log{x})$ multiplications. The second problem is to find all strong liars and witnesses, given a fixed odd composite $n$. This appears to be unstudied, and an algorithm is presented that requires $O(n (\log\log{n})^2)$ multiplications. Although interesting in their own right, a notable application is the search for sets of composites with no reliable witness.

Deletion Without Rebalancing in Binary Search Trees

We address the vexing issue of deletions in balanced trees. Rebalancing after a deletion is generally more complicated than rebalancing after an insertion. Textbooks neglect deletion rebalancing, and many B-tree-based database systems do not do it. We describe a relaxation of AVL trees in which rebalancing is done after insertions but not after deletions, yet access time remains logarithmic in the number of insertions. For many applications of balanced trees, our structure offers performance competitive with that of classical balanced trees. With the addition of periodic rebuilding, the performance of our structure is theoretically superior to that of many if not all classic balanced tree structures. Our structure needs lglg(m) + 1 bits of balance information per node, where m is the number of insertions and lg is the base-two logarithm, or lglg(n) + O(1) with periodic rebuilding, where n is the number of nodes. An insertion takes up to two rotations and O(1) amortized time, the same as in standard AVL trees. Using an analysis that relies on an exponential potential function, we show that rebalancing steps occur with a frequency that is exponentially small in the height of the affected node. Our techniques apply to other types of balanced trees, notably B-trees, as we show in a companion paper, and in particular red-black trees, which can be viewed as a special case of B-trees.

Smoothed Analysis of the 2-Opt Algorithm for the General TSP

2-Opt is a simple local search heuristic for the traveling salesperson problem, which performs very well in experiments both with respect to running time and solution quality. In contrast to this, there are instances on which 2-Opt may need an exponential number of steps to reach a local optimum. To understand why 2-Opt usually finds local optima quickly in experiments, we study its expected running time in the model of smoothed analysis, which can be considered as a less pessimistic variant of worst-case analysis in which the adversarial input is subject to a small amount of random noise. In our probabilistic input model an adversary chooses an arbitrary graph~$G$ and additionally a probability density function for each edge according to which its length is chosen. We prove that in this model the expected number of local improvements is~$O(mn\phi(\log m)^3\cdot 4^{3\sqrt{\ln{m}}})=m^{1+o(1)}n\phi$, where~$n$ and~$m$ denote the number of vertices and edges of~$G$, respectively, and~$\phi$ denotes an upper bound on the density functions.

Space-Constrained Interval Selection

We study streaming algorithms for the interval selection problem: finding a maximum cardinality subset of disjoint intervals on the line. A deterministic $2$-approximation streaming algorithm for this problem is developed, together with an algorithm for the special case of proper intervals, achieving improved approximation ratio of $3/2$. We complement these upper bounds by proving that they are essentially best possible in the streaming setting: it is shown that an approximation ratio of $2 - \epsilon$ (or $3 / 2 - \epsilon$ for proper intervals) cannot be achieved unless the space is linear in the input size. In passing, we also answer an open question of Adler and Azar (J.\ Scheduling 2003) regarding the space complexity of constant-competitive randomized preemptive online algorithms for the same problem.

Semi-Streaming Set Cover

This paper studies the set cover problem under the semi-streaming model. The underlying set system is formalized in terms of a hypergraph $G = (V, E)$ whose edges arrive one-by-one and the goal is to construct an edge cover $F \subseteq E$ with the objective of minimizing the cardinality (cost in the weighted case) of $F$. We consider a parameterized relaxation of this problem, where given some $0 \leq \epsilon < 1$, the goal is to construct an edge $(1 - \epsilon)$-cover, namely, a subset of edges incident to all but an $\epsilon$-fraction of the vertices (or their benefit in the weighted case). The key limitation imposed on the algorithm is that its space is limited to (poly)logarithmically many bits per vertex. Our main result is an asymptotically tight trade-off between $\epsilon$ and the approximation ratio: We design a semi-streaming algorithm that on input hypergraph $G$, constructs a succinct data structure $\mathcal{D}$ such that for every $0 \leq \epsilon < 1$, an edge $(1 - \epsilon)$-cover that approximates the optimal edge \mbox{($1$-)cover} within a factor of $f(\epsilon, n)$ can be extracted from $\mathcal{D}$ (efficiently and with no additional space requirements), where \[ f(\epsilon, n) = \left\{ \begin{array}{ll} O (1 / \epsilon), & \text{if } \epsilon > 1 / \sqrt{n} \\ O (\sqrt{n}), & \text{otherwise} \end{array} \right. \, . \] In particular for the traditional set cover problem we obtain an $O(\sqrt{n})$-approximation. This algorithm is proved to be best possible by establishing a family (parameterized by $\epsilon$) of matching lower bounds.

An Improved Approximation Algorithm for the Edge-Disjoint Paths Problem with Congestion Two

Approximation Algorithms for Movement Repairmen

Agnostic learning in permutation invariant domains

2-Edge Connectivity in Directed Graphs

Edge and vertex connectivity are fundamental concepts in graph theory. While they have been thoroughly studied in the case of undirected graphs, surprisingly not much has been investigated for directed graphs. In this paper we study 2-edge connectivity problems in directed graphs and, in particular, we consider the computation of the following natural relation: We say that two vertices v and w are 2-edge-connected if there are two edge-disjoint paths from v to w and two edge-disjoint paths from w to v. This relation partitions the vertices into blocks such that all vertices in the same block are 2-edge-connected. Differently from the undirected case, those blocks do not correspond to the 2-edge-connected components of the graph. The main result of this paper is an algorithm for computing the 2-edge-connected blocks of a directed graph in linear time. Besides being asymptotically optimal, our algorithm improves significantly over previous bounds. Once the 2-edge-connected blocks are available, we can test in constant time if two vertices are 2-edge-connected. Additionally, when two query vertices v and w are not 2-edge-connected, we can produce in constant time a witness of this property. We are also able to compute in linear time a sparse certificate for this relation, i.e., a subgraph of the input graph that has O(n) edges and maintains the same 2-edge-connected blocks as the input graph, where n is the number of vertices.

A Linear-Size Logarithmic Stretch Path-Reporting Distance Oracle for General Graphs

Given an $n$-vertex undirected graph $G = (V,E)$ and a parameter $k = 1,2,\ldots$, Thorup-Zwick's distance oracle has size $O(k n^{1+1/k})$, and upon a query $(u,v)$ it constructs a path $\Pi$ between $u$ and $v$ of length $\delta(u,v)$ such that $d_G(u,v) \le \delta(u,v) \le (2k-1) d_G(u,v)$. The query time of this oracle is $O(k)$ (in addition to the length of the returned path), and it was subsequently improved to $O(1)$ \cite{WN12,C14}. A major drawback of the oracle of Thorup and Zwick is that its space is $\Omega(n \cdot \log n)$. Mendel and Naor devised an oracle with space $O(n^{1+1/k})$ and stretch $O(k)$, but their oracle can only report distance estimates and not actual paths. In this paper we devise a path-reporting distance oracle with size $O(n^{1+1/k})$, stretch $O(k)$ and query time $O(n^\eps)$, for an arbitrarily small $\eps > 0$. Another variant of our oracle has size $O(n \log\log n)$, polylogarithmic stretch, and query time $O(\log\log n)$. For unweighted graphs we devise a distance oracle with multiplicative stretch $O(1)$, additive stretch $O(\beta(k))$, for a function $\beta()$, space $O(n^{1+1/k} \cdot \beta)$, and query time $O(n^\eps)$, for an arbitrarily small constant $\eps >0$. The tradeoff between multiplicative stretch and size in these oracles is far below girth conjecture threshold (which is stretch $2k-1$ and size $O(n^{1+1/k})$). An important novel tool that we develop on the way to these results is a {distance-preserving path-reporting oracle}. We believe that this oracle is of independent interest.

How good is multi-pivot quicksort?

Multi-Pivot Quicksort refers to variants of classical quicksort where in the partitioning step k pivots are used to split the input into k + 1 segments. For many years, multi-pivot quicksort was regarded as impractical, but in 2009 a 2-pivot approach by Yaroslavskiy, Bentley, and Bloch was chosen as the standard sorting algorithm in Sun's Java 7. In 2014 at ALENEX, Kushagra et al. introduced an even faster algorithm that uses three pivots. This paper studies what possible advantages multi-pivot quicksort might offer in general. The contributions are as follows: Natural comparison-optimal algorithms for multi-pivot quicksort are devised and analyzed. The analysis shows that the benefits of using multiple pivots with respect to the average comparison count are marginal and these strategies are inferior to simpler strategies such as the well known median-of-k approach. A substantial part of the partitioning cost is caused by rearranging elements. A rigorous analysis of an algorithm for rearranging elements in the partitioning step is carried out, observing mainly how often array cells are accessed during partitioning. The algorithm behaves best if 3 or 5 pivots are used. Experiments show that this translates into good cache behavior and is closest to predicting observed running times of multi-pivot quicksort algorithms. Finally, it is studied how choosing pivots from a sample affects sorting cost.

On the Tradeoff between Stability and Fit

In computing, as in many aspects of life, changes incur cost. Many optimization problems are formulated as a one-time instance starting from scratch. However, a common case that arises is when we already have a set of prior assignments, and must decide how to respond to a new set of constraints, given that each change from the current assignment comes at a price. That is, we would like to maximize the fitness or efficiency of our system, but we need to balance it with the changeout cost from the previous state. We provide a precise formulation for this tradeoff and analyze the resulting {\em stable extensions} of some fundamental problems in measurement and analytics. Our main technical contribution is a stable extension of PPS (probability proportional to size) weighted random sampling, with applications to monitoring and anomaly detection problems. We also provide a general framework that applies to top-k, minimum spanning tree, and assignment. In both cases, we are able to provide exact solutions, and discuss efficient incremental algorithms that can find new solutions as the input changes.

Better Balance by Being Biased: A 0.8776-Approximation for Max Bisection

Dynamic Facility Location via Exponential Clocks

The dynamic facility location problem is a generalization of the classic facility location problem proposed by Eisenstat, Mathieu, and Schabanel to model the dynamics of evolving social/infrastructure networks. The generalization lies in that the distance metric between clients and facilities changes over time. This leads to a trade-off between optimizing the classic objective function and the "stability" of the solution: there is a switching cost charged every time a client changes the facility to which it is connected. While the standard linear program (LP) relaxation for the classic problem naturally extends to this problem, traditional LP-rounding techniques do not, as they are often sensitive to small changes in the metric resulting in frequent switches. We present a new LP-rounding algorithm for facility location problems, which yields the first constant approximation algorithm for the dynamic facility location problem. Our algorithm installs competing exponential clocks on the clients and facilities, and connect every client by the path that repeatedly follows the smallest clock in the neighborhood. The use of exponential clocks gives rise to several properties that distinguish our approach from previous LP-roundings for facility location problems. In particular, we use no clustering and we allow clients to connect through paths of arbitrary lengths. In fact, the clustering-free nature of our algorithm is crucial for applying our LP-rounding approach to the dynamic problem.


Publication Years 2005-2016
Publication Count 515
Citation Count 2954
Available for Download 515
Downloads (6 weeks) 1499
Downloads (12 Months) 15470
Downloads (cumulative) 201535
Average downloads per article 391
Average citations per article 6
First Name Last Name Award
Lars Arge ACM Distinguished Member (2009)
Moses S Charikar ACM Paris Kanellakis Theory and Practice Award (2012)
Anne Condon ACM Doctoral Dissertation Award
Series Winner (1988) ACM Doctoral Dissertation Award
Series Winner (1988)
Graham R. Cormode ACM Distinguished Member (2013)
Constantinos Daskalakis ACM Doctoral Dissertation Award (2008)
Xiaotie Deng ACM Senior Member (2006)
Martin Dietzfelbinger ACM Distinguished Member (2011)
Pedro F Felzenszwalb ACM Grace Murray Hopper Award (2013)
Michael T Goodrich ACM Distinguished Member (2006)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
Venkatesan Guruswami ACM Doctoral Dissertation Award (2002)
Piotr Indyk ACM Paris Kanellakis Theory and Practice Award (2012)
Charles E Leiserson ACM-IEEE CS Ken Kennedy Award (2014)
ACM Paris Kanellakis Theory and Practice Award (2013)
ACM Doctoral Dissertation Award (1982)
Kurt Mehlhorn ACM Paris Kanellakis Theory and Practice Award (2010)
Mukesh Mohania ACM Distinguished Member (2011)
Noam Nissan ACM Doctoral Dissertation Award
Series Winner (1990) ACM Doctoral Dissertation Award
Series Winner (1990)
Omer Reingold ACM Grace Murray Hopper Award (2005)
Sandeep K Shukla ACM Distinguished Member (2012)
ACM Senior Member (2007)
David Steurer ACM Doctoral Dissertation Award
Honorable Mention (2011) ACM Doctoral Dissertation Award
Honorable Mention (2011)
Madhu Sudan ACM Doctoral Dissertation Award (1993)
Subhash Suri ACM Distinguished Member (2007)
Robert E Tarjan ACM Paris Kanellakis Theory and Practice Award (1999)
ACM A. M. Turing Award (1986)
Salil P Vadhan ACM Doctoral Dissertation Award (2000)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Jennifer L Welch ACM Distinguished Member (2012)

First Name Last Name Paper Counts
MohammadTaghi Hajiaghayi 11
Dániel Marx 11
Guy Kortsarz 9
Erik Demaine 8
Uri Zwick 8
Robert Tarjan 7
Mikkel Thorup 7
Samir Khuller 7
Gonzalo Navarro 6
Magnús Halldórsson 6
Pankaj Agarwal 6
Zeev Nutov 6
Haim Kaplan 6
Moshe Lewenstein 6
Noga Alon 6
Ke Yi 5
David Eppstein 5
David Peleg 5
Chandra Chekuri 5
Andrzej Pelc 5
Kirk Pruhs 5
Hadas Shachnai 5
Micha Sharir 5
Raphael Yuster 5
Joseph Naor 5
Inge Gørtz 5
Venkatesh Raman 5
Saket Saurabh 5
Yossi Azar 5
Shay Solomon 5
S Muthukrishnan 5
Liam Roditty 5
Maxim Sviridenko 5
Nikhil Bansal 5
Anupam Gupta 5
Rohit Khandekar 4
Telikepalli Kavitha 4
Thore Husfeldt 4
Glencora Borradaile 4
Fedor Fomin 4
Dana Ron 4
Ashish Goel 4
Daniel Lokshtanov 4
Oren Weimann 4
Baruch Schieber 4
Timothy Chan 4
Graham Cormode 4
Guy Even 4
Viswanath Nagarajan 4
Sudipto Guha 4
Mohammad Salavatipour 4
Philip Klein 4
Susanne Albers 4
Michael Elkin 4
Ignaz Rutter 4
Sariel Har-Peled 4
Kurt Mehlhorn 4
Asaf Levin 4
Andrew McGregor 3
Adi Rosén 3
Dror Rawitz 3
Artur Czumaj 3
Alberto Marchetti-Spaccamela 3
Surender Baswana 3
Daniel Berend 3
Harald Räcke 3
Stephen Alstrup 3
Edward Reingold 3
Rob Van Stee 3
Leah Epstein 3
Sanjeev Khanna 3
Julia Chuzhoy 3
Amotz Bar-Noy 3
Dimitrios Thilikos 3
Marek Cygan 3
Harold Gabow 3
Christian Sohler 3
Boris Aronov 3
Pat Morin 3
Gabriel Scalosub 3
Srinivasa Satti 3
Meng He 3
Shai Gutner 3
George Karakostas 3
Baruch Awerbuch 3
Fabrizio Grandoni 3
Wojciech Szpankowski 3
Amol Deshpande 3
Amos Korman 3
Jeff Edmonds 3
Laurent Alonso 3
Kazuo Iwama 3
Sergio Cabello 3
Marek Chrobak 3
Amit Chakrabarti 3
Rajiv Gandhi 3
David Johnson 3
Danny Segev 3
Stefan Kratsch 3
Zoya Svitkina 3
Dimitrios Michail 3
Paolo Ferragina 3
Refael Hassin 3
Philip Bille 3
Ramamoorthi Ravi 3
Martín Farach-Colton 3
Amin Saberi 3
Yuval Rabani 3
Joseph Cheriyan 3
Seth Pettie 3
Morteza Zadimoghaddam 3
Lisa Hellerstein 3
MohammadTaghi Hajiaghayi 2
Christophe Paul 2
Ulrich Meyer 2
Petr Kolman 2
Iftah Gamzu 2
Somnath Sikdar 2
Ioannis Koutis 2
Roberto Grossi 2
Benjamin Raichel 2
Angelika Steger 2
Berthold Vöcking 2
Magnus Wahlström 2
Loukas Georgiadis 2
Andreas Björklund 2
Michael Bender 2
Svante Janson 2
Hiroki Yanagisawa 2
Christoph Ambühl 2
Tobias Jacobs 2
Don Coppersmith 2
Atri Rudra 2
Zachary Friggstad 2
Stefan Langerman 2
Conrado Martínez 2
Alfredo Viola 2
Amihood Amir 2
Joan Boyar 2
Joseph Leung 2
Joe Sawada 2
Peter Korteweg 2
Camil Demetrescu 2
Giuseppe Italiano 2
Alex Kesselman 2
Clifford Stein 2
HoLeung Chan 2
Kamesh Munagala 2
Venkatesan Guruswami 2
Thomas Erlebach 2
MohammadHossein Bateni 2
Irene Finocchi 2
Hans Bodlaender 2
Vijay Kumar 2
Bernhard Haeupler 2
Carmit Hazay 2
Bundit Laekhanukit 2
Thomas Sauerwald 2
Lisa Fleischer 2
Rina Panigrahy 2
An Zhu 2
Lisa Zhang 2
Veli Mäkinen 2
Takwah Lam 2
Lapchi Lau 2
Pierre Fraigniaud 2
Hamid Mahini 2
Subhash Suri 2
James Aspnes 2
Éva Tardos 2
Ioannis Caragiannis 2
Ola Svensson 2
Tami Tamir 2
Anne Driemel 2
Djamal Belazzougui 2
Adrian Vetta 2
Dilys Thomas 2
John Iacono 2
Dina Sokol 2
Kunihiko Sadakane 2
Holeung Chan 2
Eduardo Laber 2
Konstantinos Panagiotou 2
Jie Gao 2
Kenichi Kawarabayashi 2
Jesper Nederlof 2
Mingyang Kao 2
Jon Feldman 2
Anastasios Sidiropoulos 2
Shanghua Teng 2
Mikko Koivisto 2
Ignasi Sau 2
Christos Kaklamanis 2
Klaus Jansen 2
Martin Skutella 2
Tomás Feder 2
Cyril Gavoille 2
Julián Mestre 2
Luca Becchetti 2
Mohammad Mahdian 2
Jiří Sgall 2
Chaitanya Swamy 2
Dieter Kratsch 2
Geevarghese Philip 2
Thomas Bläsius 2
Dekel Tsur 2
Yoann Dieudonné 2
Suresh Venkatasubramanian 2
Lars Arge 2
Ittai Abraham 2
Vincenzo Bonifaci 2
Alexander Russell 2
Allan Borodin 2
Yishay Mansour 2
Ramakrishna Thurimella 2
Kenneth Clarkson 2
Goran Konjevod 2
Jittat Fakcharoenphol 2
John Hershberger 2
Yonatan Aumann 2
Adam Meyerson 2
Shay Mozes 2
Joan Feigenbaum 2
Shuichi Miyazaki 2
Theis Rauhe 2
Teofilo Gonzalez 2
Roy Schwartz 2
Jérémy Barbay 2
Milan Ružić 2
Antoine Vigneron 2
R Sritharan 2
Konstantin Makarychev 2
Andréa Richa 2
Leen Stougie 2
Claire Mathieu 2
Rajeev Raman 2
Hamid Nazerzadeh 2
Yury Makarychev 2
Alexandr Andoni 2
Matthew Andrews 2
Dimitris Fotakis 2
Michael Drmota 2
Bodo Manthey 2
Michele Flammini 2
Helmut Prodinger 2
Dariusz Kowalski 2
Katarzyna Paluch 2
Jochen Könemann 2
Holger Dell 2
Cristopher Moore 2
Shmuel Safra 1
Martin Gairing 1
Kasturi Varadarajan 1
Niv Buchbinder 1
Vanbang Le 1
Ekkehard Köhler 1
Mark Petrick 1
George Yuhasz 1
Himanshu Gupta 1
Leszek Gąsieniec 1
Robert Krauthgamer 1
Vitaly Feldman 1
Jelani Nelson 1
Poshen Loh 1
Joseph Mitchell 1
Valentin Polishchuk 1
Jukka Suomela 1
Marc Van Kreveld 1
Ran Raz 1
Alexander Langer 1
Mikkel Thorup 1
Michael Kapralov 1
Keren Censor 1
Aravind Srinivasan 1
Alexander Kulikov 1
Ivan Mihajlin 1
Shi Li 1
Siuwing Cheng 1
Hjalte VildhØj 1
Csaba Tóth 1
Donglin Xia 1
Rajesh Chitnis 1
MohammadAmin Fazli 1
Sina Sadeghabad 1
MohammadAli Safari 1
Dannyziyi Chen 1
Jan Kratochvíl 1
Richard Cole 1
M Ramanujan 1
Shay Kutten 1
Gagan Aggarwal 1
Shimon Shahar 1
Hisao Tamaki 1
Hung Yu 1
Markus Püschel 1
Frank Ruskey 1
M Paal 1
Lene Favrholdt 1
Vladlen Koltun 1
Gilad Tsur 1
Tomasz Nowicki 1
Karsten Tiemann 1
Sandeep Sen 1
Justus Schwartz 1
Avner Magen 1
Alexey Stepanov 1
Rohan Fernandes 1
David Fernández-Baca 1
Ulrich Faigle 1
Bojan Mohar 1
Reid Andersen 1
Valerie King 1
Constantinos Daskalakis 1
Thomas Rothvoß 1
Yusuke Kobayashi 1
Sebastian Böcker 1
Prasad Raghavendra 1
Yi Wu 1
Guillaume Moroz 1
Owen Kaser 1
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Amir Sapir 1
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Atlas IV 1
Dahlia Malkhi 1
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Yuan Zhou 1
Marcin Pilipczuk 1
Rishi Saket 1
Amin Sayedi-Roshkhar 1
Qin Zhang 1
Sylvain Guillemot 1
Reuven Cohen 1
Panos Giannopoulos 1
Xin Han 1
Rajeev Motwani 1
Liadan O'Callaghan 1
Randeep Bhatia 1
Amit Bhosle 1
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Nicholas Pippenger 1
Vikraman Arvind 1
Christoph Dürr 1
Mark Ward 1
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Charles Garrod 1
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Ning Chen 1
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Saber Fadaee 1
Fabrizio Frati 1
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Benjamin Doerr 1
N Narayanaswamy 1
Arturo Gonzalez-Gutierrez 1
Yue Wang 1
Dorit Hochbaum 1
Quang Bui 1
Ofer Neiman 1
Mihai P&acaron;trascu 1
Robert Carr 1
Shayan Oveisgharan 1
Paolo Penna 1
Madhu Sudan 1
Ron Pinter 1
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Toshihiro Fujito 1
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Ningning Wu 1
Tobias Friedrich 1
Ryan Moriarty 1
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Robin Thomas 1
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Brigitte Vallee 1
Hingfung Ting 1
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Luca Moscardelli 1
Alexander Izsak 1
Arash Asadpour 1
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Philippe Baptiste 1
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Lawrence Larmore 1
Rami Cohen 1
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Nira Shafrir 1
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Waihong Chan 1
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Martin Jaggi 1
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Anna Lubiw 1
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George Christodoulou 1
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Noa Avigdor-Elgrabli 1
Virginia Vassilevska 1
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Sen Zhang 1
C Subramanian 1
Guy Kortsarz 1
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Eunjung Kim 1
Danupon Nanongkai 1
Éric Fusy 1
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Wei Hu 1
Yoshio Okamoto 1
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Elad Haramaty 1
Ron Adany 1
Sanjiv Kapoor 1
Rinat Avraham 1
Haitao Wang 1
Matúš Mihalák 1
Siddhartha Sen 1
Guyslain Naves 1
Tobias Friedrich 1
Michael Dom 1
Joachim Gudmundsson 1
Giri Narasimhan 1
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Yefim Dinitz 1
Alexander Shvartsman 1
Qianping Gu 1
Tzuchin Lin 1
Yevgen Voronenko 1
Huahuai Chern 1
Wingkai Hon 1
Stefano Leonardi 1
Michael Goodrich 1
Yossi Richter 1
Dana Moshkovitz 1
Jiong Guo 1
Nina Taslaman 1
Christian Scheideler 1
Chaiwah Wu 1
David Kirkpatrick 1
Bernadette Charron-Bost 1
Piotr Sankowski 1
Robert Schweller 1
Bruce Reed 1
Matthew Katz 1
Ryan Williams 1
Eyal Gordon 1
Cecilia Procopiuc 1
Sunil Arya 1
Theocharis Malamatos 1
Jens Gramm 1
Rolf Niedermeier 1
Rajsekar Manokaran 1
Martin Wahlén 1
Zvi Galil* 1
Evangelos Kranakis 1
Danny Krizanc 1
Sriram Pemmaraju 1
Azarakhsh Malekian 1
Jeffrey Vitter 1
René Meier 1
Sebastian Wild 1
Ralph Neininger 1
Yixin Cao 1
Artur Jeż 1
Andreas Brandstädt 1
Michael Pinedo 1
Richard Geary 1
Zheng Liu 1
Mark Pedigo 1
William Aiello 1
Jyrki Katajainen 1
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Gregory Sorkin 1
David Wood 1
Leana Golubchik 1
Yuval Emek 1
Marcel Ackermann 1
T Jayram 1
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Yang Liu 1
Pekka Parviainen 1
Ojas Parekh 1
Dany Azriel 1
Lan Liu 1
Eric Torng 1
Artem Pyatkin 1
Yoav Giora 1
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Rajesh Gupta 1
Jacques Yuster 1
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Tom Leighton 1
Gauri Shah 1
Ilan Newman 1
Keke Chen 1
Yoav Katz 1
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Ning Chen 1
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Christian Scheideler 1
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Jian Li 1
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Paweł Gawrychowski 1
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Singhoi Sze 1
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Huy Nguyeݱn 1
Kedar Dhamdhere 1
Sandeep Shukla 1
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Walter Kern 1
Jessica Chang 1
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Edo Liberty 1
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Charles Leiserson 1
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Akiko Suzuki 1
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Asaf Shapira 1
J Munro 1
Yoshiharu Kohayakawa 1
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Angelo Fanelli 1
Florian Diedrich 1
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Bin Fu 1
Christian Duncan 1
Martin Strauss 1
Tal Malkin 1
Fei Li 1
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F Bruss 1
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Steve Oudot 1
Nir Ailon 1
Rogers Mathew 1
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Jianer Chen 1
Songjian Lu 1
Fenghui Zhang 1
Anke Truß 1
Aravindan Vijayaraghavan 1
Roberto De Prisco 1
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Eric Chen 1
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Anne Condon 1
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Howard Karloff 1
David Pritchard 1
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Eyal Even-Dar 1
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Jianxing Feng 1
Rephael Wenger 1
Katarína Cechlárová 1
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Henning Fernau 1
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Maarten Löffler 1
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Adrian Dumitrescu 1
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Sambuddha Roy 1
Lusheng Wang 1
Yuval Ishai 1
Łukasz Jeż 1
Jay Sethuraman 1
Satish Rao 1
Arie Koster 1
Ely Porat 1
Alexander Hall 1
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Michael Spriggs 1
Daming Zhu 1
Peter Grabner 1
Eric De Verdiere 1
Alexander Schrijver 1
Xiaohui Zhang 1
Richard Ladner 1
Arnaud Labourel 1
Alon Efrat 1
Michael Dinitz 1
Felix Reidl 1
Nikos Karanikolas 1
Piyush Kurur 1
Alessandro Panconesi 1
Jaikumar Radhakrishnan 1
Julien Clément 1
Pierre Nicodème 1
Balaji Raghavachari 1
Mordecai Golin 1
Guy Louchard 1
Sivan Toledo 1
Ge Nong 1
Irit Katriel 1
Hu Zhang 1
Nicole Megow 1
Erich Kaltofen 1
Piotr Indyk 1
Stefan Hougardy 1
Micah Adler 1
Tomasz Radzik 1
Martin Aumüller 1
Sándor Fekete 1
Frank Staals 1
Alex Levin 1
Jeremy Fineman 1
T Chan 1
Martin Hoefer 1
Benjamin Aminof 1
Orna Kupferman 1
StéPhan Thomassé 1
Danny Hermelin 1
Philip Klein 1
Alexander Golovnev 1
Ryan Williams 1
Johannes Fischer 1
Jérémie Chalopin 1
Yann Disser 1
Vít Jelínek 1
Krishnaram Kenthapadi 1
Daniel Lemire 1
Mark De Berg 1
Ron Levy 1
Bastian Pochon 1
Gerhard Woeginger 1
Hsienkuei Hwang 1
Gad Landau 1
Aaron Williams 1
Hoyee Cheung 1
Li Ning 1
Daniel Blandford 1
Gilles Schaeffer 1
Nicole Immorlica 1
Vahab Mirrokni 1
Justin Thaler 1
Alon Shalita 1
Annamária Kovács 1
Cenk Sahinalp 1
Madhav Marathe 1
Benjamin Sach 1
Christian Konrad 1
Rahul Garg 1
Rohit Khandekar 1
Shantanu Das 1
Giuseppe Di Battista 1
Maurizio Patrignani 1
Yufei Tao 1
Boaz Patt-Shamir 1
Shuxin Nie 1
Adam Buchsbaum 1
Herman Haverkort 1
Iam Roditty 1
Biingfeng Wang 1
Jeremy Spinrad 1
Amitabha Bagchi 1
James Korsh 1
Yumei Huo 1
Dany Breslauer 1
Stefan Schmid 1
Omer Reingold 1
Rajiv Raman 1
Ankur Gupta 1
Noam Solomon 1
David Cashman 1
Michael Goldwasser 1
Emo Welzl 1
Manan Sanghi 1
Damien Stehlé 1
Balaji Venkatachalam 1
Johannes Blömer 1
Petra Berenbrink 1
Peter Sanders 1
Omid Madani 1
Srinivasan Parthasarathy 1
Guochuan Zhang 1
Eli Upfal 1
Ulrich Schwarz 1
Friedhelm Heide 1
Amalia Duch 1
Yan Zhang 1
Andrea Ribichini 1
Lapkei Lee 1
Bruce Maggs 1
Mathieu Liedloff 1
Ioan Todinca 1
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Wei Chen 1
Estrella Eisenberg 1
Alexander Wolff 1
Georg Baier 1
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Bernhard Von Stengel 1
Marcelo Mydlarz 1
F Shepherd 1
Assaf Naor 1
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Peter Rossmanith 1
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Greg Little 1
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François Nicolas 1
Jens Vygen 1
Nishanth Chandran 1
Mohammad Safari 1
Shakhar Smorodinsky 1
Mihai Bǎdoiu 1
Bob Sedgewick 1
Francis Chin 1

Affiliation Paper Counts
Meiji University 1
Medical University of South Carolina 1
National Taiwan Ocean University 1
Georgetown University 1
Shanghai Jiaotong University 1
University College Cork 1
University of Tokyo 1
Rensselaer Polytechnic Institute 1
Indian Institute of Technology, Madras 1
University of Vienna 1
Netanya Academic College 1
Lawrence Livermore National Laboratory 1
University of Melbourne 1
University of Oxford 1
DePaul University 1
Stevens Institute of Technology 1
Kwansei Gakuin University 1
Institute for Advanced Studies 1
Oracle Corporation 1
University of Quebec in Montreal 1
Sant'Anna School of Advanced Studies 1
University of Eastern Piedmont Amedeo Avogadro, Alessandria 1
University of Leoben 1
Siemens AG 1
Ludwig Maximilian University of Munich 1
University of Miami 1
The University of Georgia 1
Wesleyan University Middletown 1
Cisco Systems 1
University of Milan 1
Pavol Jozef safarik University in Kosice 1
California Institute of Technology 1
Utah State University 1
Michigan State University 1
Korea Advanced Institute of Science & Technology 1
University of Wisconsin Madison 1
University of Electro-Communications 1
University of the Saarland 1
Sobolev Institute of Mathematics of Siberian Branch of the RAS 1
Google Switzerland GmbH 1
NEC Deutschland GmbH 1
Istituto di Scienza e Tecnologie dell'Informazione A. Faedo 1
ORT Braude - College of Engineering 1
Intertrust Technologies Corporation 1
Microsoft Research Cambridge 1
VMware, Inc 1
Laboratoire d'Analyse et Modelisation de Systemes pour l'Aide a la Decision 1
SRI International 1
Harvey Mudd College 1
Emory University 1
University of Michigan 1
Universite Pierre et Marie Curie 1
University of Glasgow 1
University of Stellenbosch 1
Center for Communications Research 1
National Technical University of Athens 1
Toyohashi University of Technology 1
Vanderbilt University 1
Zhejiang University 1
IBM Tokyo Research Laboratory 1
Iowa State University 1
Dalian University of Technology 1
University of G. d'Annunzio Chieti and Pescara 1
J. Craig Venter Institute 1
Ecole Normale Superieure de Lyon 1
Los Alamos National Laboratory 1
University of Western Macedonia 1
National Institutes of Health, Bethesda 1
University of Missouri-Kansas City 1
Sandia National Laboratories, New Mexico 1
Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier LIRMM 1
Technical University in Braunschweig 1
Malmo University 1
University of Sao Paulo 1
Vrije Universiteit Amsterdam 1
Hong Kong Polytechnic University 1
Birkbeck University of London 1
Linkoping University 1
Universite Paris 13 1
University of Colorado at Denver 1
Kyushu University 1
BRICS Basic Research in Computer Science 1
National Chiao Tung University Taiwan 1
Lubeck University 1
University of Texas at Austin 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
Indian Institute of Technology, Bombay 1
Hong Kong Baptist University 1
University of California, Davis 1
Dalle Molle Institute for Artificial Intelligence 1
Federal University of Parana 1
Florida International University 1
University of Witwatersrand 1
Holon Institute of Technology 1
Academia Sinica Taiwan 1
University of New Brunswick 1
University of Tubingen 1
Aegean University 1
George Mason University 1
Universite Bordeaux 1 1
Boston University 1
University of Wisconsin Milwaukee 1
Saint Petersburg Department of Steklov Institute of Mathematics, Russian Academy of Sciences 1
Brandenburg University of Technology Cottbus 1
Hewlett-Packard 1
University of Bristol 1
California State University Northridge 1
Sun Yat-Sen University 1
State University of New York College at Oneonta 1
Johannes Kepler University Linz 1
University of Durham 1
Pennsylvania State University 2
London School of Economics and Political Science 2
University of Texas at San Antonio 2
Ohio State University 2
University of Rostock 2
Uppsala University 2
Mentor Graphics Corporation 2
University of Ioannina 2
North Carolina State University 2
Instituto Superior Tecnico 2
National Taiwan University 2
Tohoku University 2
University of Dayton 2
University of Texas at Dallas 2
University of Kaiserslautern 2
University of Arizona 2
King's College London 2
Center for Mathematics and Computer Science - Amsterdam 2
University of Trier 2
The Interdisciplinary Center Herzliya 2
Seoul National University 2
City University of Hong Kong 2
University of Denver 2
University of Guelph 2
Dalhousie University 2
Universite de Picardie Jules Verne 2
National University of Singapore 2
University of L'Aquila 2
Graz University of Technology 2
Royal Holloway University of London 2
West Virginia University 2
University of Notre Dame 2
Kasetsart University 2
University of Iowa 2
Universite Paris-Sud XI 2
Eotvos Lorand University 2
Tsinghua University 2
University of Utah 2
University of Freiburg 2
Microsoft 2
Universite Paul Verlaine - Metz 2
St. Louis University 2
Research Organization of Information and Systems National Institute of Informatics 2
University of Chicago 2
University of Aarhus 2
Universite d'Orleans 2
Technical University of Ilmenau 2
Temple University 2
Free University of Berlin 2
University of Cambridge 2
Tata Institute of Fundamental Research 2
University of Nevada, Las Vegas 2
Universite de Caen Basse Normandie 2
Pontifical Catholic University of Rio de Janeiro 2
Indian Institute of Technology, Delhi 2
University of Puerto Rico 2
Universidad de la Republica 2
Microsoft Research Asia 2
Universite de Bordeaux 2
Aalto University 2
Ecole Normale Superieure 3
University of Colorado at Boulder 3
Helsinki Institute for Information Technology 3
Royal Institute of Technology 3
University of Helsinki 3
Johns Hopkins University 3
Nanyang Technological University 3
Northwestern University 3
University of Bonn 3
Johann Wolfgang Goethe University of Frankfurt 3
Harvard University 3
University of Texas-Pan American 3
IBM Research 3
Oregon State University 3
Ecole Polytechnique 3
Texas A and M University 3
University of Connecticut 3
New Jersey Institute of Technology 3
Brooklyn College 3
University of Sydney 3
Laboratoire d'Informatique de l'Ecole Polytechnique 3
Shandong University 3
University of Ljubljana 3
Academy of Sciences of the Czech Republic (Avcr.Cz) 3
University at Buffalo, State University of New York 3
York University Canada 3
University of Iceland 3
Toyota Technological Institute at Chicago 3
King Abdullah University of Science and Technology 3
Aix Marseille Universite 3
Chinese University of Hong Kong 4
University of Victoria 4
IBM India Research Laboratory New Delhi 4
Arizona State University 4
Yale University 4
City University of New York 4
University of Salerno 4
Universitat Politecnica de Catalunya 4
Roma Tre University 4
Indian Institute of Science 4
AT&T Inc. 4
INRIA Lorraine 4
National Tsing Hua University 4
University of Southern Denmark 4
Georgia Institute of Technology 4
University of Twente 4
Universite Montpellier 2 Sciences et Techniques 4
Computer and Automation Research Institute Hungarian Academy of Sciences 4
Virginia Tech 4
University of Athens 4
University of Southern California 4
Karlsruhe Institute of Technology, Campus South 4
Budapest University of Technology and Economics 4
University of Dortmund 4
University of New Mexico 4
Reykjavik University 4
Illinois Institute of Technology 5
Cornell University 5
Alcatel-Lucent Bell Labs 5
IBM Almaden Research Center 5
Purdue University 5
University of Kiel 5
University of Massachusetts Amherst 5
University of Washington Seattle 5
University of Wroclaw 5
Indian Institute of Technology, Kanpur 5
University of Roma Tor Vergata 5
Hungarian Academy of Sciences 5
University of California, Riverside 5
McMaster University 5
Yahoo Research Labs 5
Universite Libre de Bruxelles 6
Humboldt University of Berlin 6
MIT Computer Science and Artificial Intelligence Laboratory 6
Utrecht University 6
The University of British Columbia 6
Dartmouth College 6
Kyoto University 6
University of Pittsburgh 6
Charles University in Prague 6
Vienna University of Technology 6
Simon Fraser University 6
IT University of Copenhagen 6
University of Quebec in Outaouais 6
New York University 6
University Michigan Ann Arbor 6
Columbia University 6
University of California, San Diego 6
University of Leicester 6
Karlsruhe Institute of Technology 6
Polytechnic University - Brooklyn 7
University of California, Irvine 7
University of Toronto 7
The University of Warwick 7
Open University of Israel 7
Stony Brook University 7
University of Pisa 7
University of California, Santa Barbara 7
University of Copenhagen 7
University of Patras 7
University of Illinois at Urbana-Champaign 8
McGill University 8
University of Illinois 8
Universite Paris 7- Denis Diderot 8
Technical University of Denmark 8
University of Warsaw 8
Carleton University 8
University of Liverpool 8
University of California, Los Angeles 8
Sharif University of Technology 8
Swiss Federal Institute of Technology, Lausanne 8
Lund University 8
Rutgers University 8
University of Pennsylvania 9
Hebrew University of Jerusalem 9
Duke University 9
Technical University of Berlin 9
Universidad de Chile 9
RWTH Aachen University 9
University of Paderborn 9
University of California, Berkeley 9
Swiss Federal Institute of Technology, Zurich 9
Friedrich Schiller University Jena 9
University of Bergen 9
University of Alberta 10
Hong Kong University of Science and Technology 11
Brown University 11
Eindhoven University of Technology 11
Princeton University 13
The University of Hong Kong 13
Rutgers University-Camden campus 13
Institute of Mathematical Sciences India 14
University of Roma La Sapienza 14
Microsoft Research 15
Weizmann Institute of Science Israel 16
University of Haifa 18
Google Inc. 18
AT&T Laboratories Florham Park 18
IBM Thomas J. Watson Research Center 18
University of Maryland 19
Stanford University 21
Bar-Ilan University 23
Ben-Gurion University of the Negev 23
Max Planck Institute for Informatics 25
Carnegie Mellon University 25
University of Waterloo 27
Massachusetts Institute of Technology 27
Technion - Israel Institute of Technology 30
Tel Aviv University 69

ACM Transactions on Algorithms (TALG)

Volume 12 Issue 3, June 2016
Volume 12 Issue 2, February 2016
Volume 12 Issue 1, February 2016 Special Issue on SODA'12 and Regular Papers

Volume 11 Issue 4, June 2015
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Volume 11 Issue 2, November 2014
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Volume 9 Issue 4, September 2013
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