36Th International Symposium on Computational Geometry
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SETL for Internet Data Processing
SETL for Internet Data Processing by David Bacon A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Computer Science New York University January, 2000 Jacob T. Schwartz (Dissertation Advisor) c David Bacon, 1999 Permission to reproduce this work in whole or in part for non-commercial purposes is hereby granted, provided that this notice and the reference http://www.cs.nyu.edu/bacon/phd-thesis/ remain prominently attached to the copied text. Excerpts less than one PostScript page long may be quoted without the requirement to include this notice, but must attach a bibliographic citation that mentions the author’s name, the title and year of this disser- tation, and New York University. For my children ii Acknowledgments First of all, I would like to thank my advisor, Jack Schwartz, for his support and encour- agement. I am also grateful to Ed Schonberg and Robert Dewar for many interesting and helpful discussions, particularly during my early days at NYU. Terry Boult (of Lehigh University) and Richard Wallace have contributed materially to my later work on SETL through grants from the NSF and from ARPA. Finally, I am indebted to my parents, who gave me the strength and will to bring this labor of love to what I hope will be a propitious beginning. iii Preface Colin Broughton, a colleague in Edmonton, Canada, first made me aware of SETL in 1980, when he saw the heavy use I was making of associative tables in SPITBOL for data processing in a protein X-ray crystallography laboratory. -
Fast Distributed Algorithms for LP-Type Problems of Low Dimension
Fast Distributed Algorithms for LP-Type Problems of Low Dimension Kristian Hinnenthal Paderborn University, Germany [email protected] Christian Scheideler Paderborn University, Germany [email protected] Martijn Struijs TU Eindhoven, The Netherlands [email protected] Abstract In this paper we present various distributed algorithms for LP-type problems in the well-known gossip model. LP-type problems include many important classes of problems such as (integer) linear programming, geometric problems like smallest enclosing ball and polytope distance, and set problems like hitting set and set cover. In the gossip model, a node can only push information to or pull information from nodes chosen uniformly at random. Protocols for the gossip model are usually very practical due to their fast convergence, their simplicity, and their stability under stress and disruptions. Our algorithms are very efficient (logarithmic rounds or better with just polylogarithmic communication work per node per round) whenever the combinatorial dimension of the given LP-type problem is constant, even if the size of the given LP-type problem is polynomially large in the number of nodes. 2012 ACM Subject Classification Theory of computation → Distributed algorithms; Theory of computation → Mathematical optimization Keywords and phrases LP-type problems, linear optimization, distributed algorithms, gossip al- gorithms Digital Object Identifier 10.4230/LIPIcs.DISC.2019.23 Funding K. Hinnenthal and C. Scheideler are supported by the DFG SFB 901 (On-The-Fly Com- puting). 1 Introduction 1.1 LP-type Problems LP-type problems were defined by Sharir and Welzl [18] as problems characterized by a tuple (H, f) where H is a finite set of constraints and f : 2H → T is a function that maps subsets from H to values in a totally ordered set (T, ≤) containing −∞. -
Call for Papers RIMS Workshop on Computational Geometry and Discrete Mathematics October 16-18, 2008, Kyoto, Japan
Call For Papers RIMS Workshop on Computational Geometry and Discrete Mathematics October 16-18, 2008, Kyoto, Japan RIMS Workshop on Computational Geometry and Workshop Organizers: Discrete Mathematics will be held at RIMS (Research Institute for Mathematical Sciences), Tetsuo Asano (JAIST, Japan) Kyoto, October 16-18, 2008. It is an event of RIMS Satoru Fujishige (Kyoto U., Japan) International Project Research 2008, Discrete Satoru Iwata (Kyoto U., Japan) Structures and Algorithms, and intended to provide a Naoki Katoh (Kyoto U., Japan) forum for researchers working in the field of Yoshio Okamoto (Tokyo Inst. Tech, Japan) computational geometry and related topics. Takeshi Tokuyama (Tohoku U., Japan, Chair) Scope: Invited Speakers: The workshop consists of invited talks and presentations on contributed papers. We call for Oswin Aichholzer (T. U. Graz, Austria) submissions of contributed papers on original Boris Aronov (Polytechnic U., USA) research on computational geometry and related Sergey Bereg (U. Texas, USA) topics. Also survey papers on recent results of the Siu Wing Cheng (HKUST, Hong Kong) authors are welcome. Otfried Cheong (KAIST, Korea) Danny Chen (U. Notre Dame, USA) Submissions: Jiri Matousek (Charles U., Czech Republic) Authors should submit short extended abstract in Kurt Mehlhorn (MPI, Germany) PDF format not exceeding 4 pages on A4 (or US Kokichi Sugihara (U. Tokyo, Japan) letter) paper, including author’s names, affiliations, Emo Welzl (ETH, Switzerland) references, and figures. One may use double-column format (we recommend the style of EuroCG). Workshop Web Page : Authors may replace the abstracts with longer ones (up to 10 pages) for the camera-ready version. http://www.dais.is.tohoku.ac.jp/~rimscg08 The submissions should be sent via email to [email protected] Symposium Site: together with your contact information. -
Dagst%Uh|-Seminar-Report; 59
Helmut Alt, Bernard Chazelle, Emo Welzl (editors): Computational Geometry Dagst%uh|-Seminar-Report;59 22.03.-26.03.93 (9312) ISSN 0940-1 121 Copyright © 1993 by IBF l GmbH,Schloß Dagstuhl, 66687Wadern, Germany TeI.: +49-6871 - 2458 Fax: +49-6871 - 5942 Das Intemationale Begegnungs- und Forschungszentrum für Informatik (IBFI) ist eine gemein- nützige GmbH. Sie veranstaltet regelmäßig wissenschaftliche Seminare, welche nach Antrag der Tagungsleiter undBegutachtung durchdas wissenschaftliche Direktorium mit persönlich eingeladenen Gästen durchgeführt werden. ' Verantwortlich für das Programm: Prof. Dr.-Ing. José Encamagao, Prof. Dr. Winfried Görke, Prof. Dr. Theo Härder Dr. Michael Laska, Prof. Dr. Thomas Lengauer, Prof. Walter Fchy Ph. D. Prof. Dr. Reinhard Wilhelm (wissenschaftlicher Direktor) Gesellschafter: Universität des Saarlandes, Universität Kaiserslautern, Universität Karlsruhe, Gesellschaft für Informatik e.V. Bonn Träger: Die Bundesländer Saarland und Rheinland-Pfalz Bezugsadresse: Geschäftsstelle Schloß Dagstuhl Informatik, Bau 36 Universität des Saarlandes Postfach 1150 66041 Saarbrücken Gennany TeI.: +49 681 - 302 - 4396 Fax: +49 -681 302 - 4397 Report of the Third Dagstuhl Seminar on Computational Geometry March 22-26, 1993 The Third DagstuhlSeminar on ComputationalGeometry was organized by Helmut.Alt. (FU Berlin), BernardCha.zelle (Princeton University), and Emo Welzl (F U Berlin). The 32 participants ca.mefrom 10 countries, among them 13 who came from North America a.nd Israel. This report contains abstracts of the 30 talks (in chronologicalorder) given at the meeting as well as Micha.Sharirs report of the open problem sessionwhich took place on Tuesday afternoon and was chaired by Kurt Mehlhorn. Berichterstatter: Frank Hoffmann Participants Pankaj Agarwal, Duke University Helmut Alt, Freie Universität Berlin Boris Aronov, PolytechnicUniversity New York Franz Aurenharmner, TU Graz Jean-Daniel Boissounat, INRIA Sophia. -
Bibliography
Bibliography [1] P. Agarwal, S. Har-Peled, M. Sharir, and Y. Wang. Hausdorff distance under translation for points, disks, and balls. Manuscript, 2002. [2] P. Agarwal and M. Sharir. Pipes, cigars, and kreplach: The union of Minkowski sums in three dimensions. Discrete Comput. Geom., 24:645–685, 2000. [3] P. K. Agarwal, O. Schwarzkopf, and Micha Sharir. The overlay of lower envelopes and its applications. Discrete Comput. Geom., 15:1–13, 1996. [4] Pankaj K. Agarwal. Efficient techniques in geometric optimization: An overview, 1999. slides. [5] Pankaj K. Agarwal and Micha Sharir. Motion planning of a ball amid segments in three dimensions. In Proc. 10th ACM-SIAM Sympos. Discrete Algorithms, pages 21–30, 1999. [6] Pankaj K. Agarwal and Micha Sharir. Pipes, cigars, and kreplach: The union of Minkowski sums in three dimensions. In Proc. 15th Annu. ACM Sympos. Comput. Geom., pages 143–153, 1999. [7] Pankaj K. Agarwal, Micha Sharir, and Sivan Toledo. Applications of parametric searching in geometric optimization. Journal of Algorithms, 17:292–318, 1994. [8] Pankaj Kumar Agarwal and Micha Sharir. Arrangements and their applications. In J.-R. Sack and J. Urrutia, editors, Handbook of Computational Geometry, pages 49–120. Elsevier, 1999. [9] H. Alt, O. Aichholzer, and G¨unter Rote. Matching shapes with a reference point. Inter- nat. J. Comput. Geom. Appl., 7:349–363, 1997. [10] H. Alt and M. Godau. Computing the Fr´echet distance between two polygonal curves. Internat. J. Comput. Geom. Appl., 5:75–91, 1995. [11] H. Alt, K. Mehlhorn, H. Wagener, and Emo Welzl. Congruence, similarity and symme- tries of geometric objects. -
Pseudo Unique Sink Orientations Arxiv:1704.08481V1 [Math.CO] 27
Pseudo Unique Sink Orientations Vitor Bosshard Bernd G¨artner July 17, 2018 Abstract A unique sink orientation (USO) is an orientation of the n-dimensional cube graph (n-cube) such that every face (subcube) has a unique sink. The number of unique sink orientations is nΘ(2n) [13]. If a cube orientation is not a USO, it contains a pseudo unique sink orientation (PUSO): an orientation of some subcube such that every proper face of it has a unique sink, but the subcube itself hasn't. In this paper, we characterize and count PUSOs of the n-cube. We show that PUSOs have a much more rigid structure than USOs and that their number is between 2Ω(2n−log n) and 2O(2n) which is negligible compared to the number of USOs. As tools, we introduce and characterize two new classes of USOs: border USOs (USOs that appear as facets of PUSOs), and odd USOs which are dual to border USOs but easier to understand. 1 Introduction Unique sink orientations. Since more than 15 years, unique sink orientations (USOs) have been studied as particularly rich and appealing combinatorial ab- stractions of linear programming (LP) [6] and other related problems [3]. Orig- inally introduced by Stickney and Watson in the context of the P-matrix linear complementarity problem (PLCP) in 1978 [19], USOs have been revived by Szab´o and Welzl in 2001, with a more theoretical perspective on their structural and algorithmic properties [20]. The major motivation behind the study of USOs is the open question whether arXiv:1704.08481v1 [math.CO] 27 Apr 2017 efficient combinatorial algorithms exist to solve PLCP and LP. -
The Epsilon-T-Net Problem, Proc. Symposium on Computational
The -t-Net Problem Noga Alon Department of Mathematics, Princeton University, Princeton, NJ 08544, USA Schools of Mathematics and Computer Science, Tel Aviv University, Tel Aviv 69978, Israel [email protected] Bruno Jartoux Department of Computer Science, Ben-Gurion University of the Negev, Be’er-Sheva, Israel [email protected] Chaya Keller Department of Computer Science, Ariel University, Ariel, Israel [email protected] Shakhar Smorodinsky Department of Mathematics, Ben-Gurion University of the Negev, Be’er-Sheva, Israel [email protected] Yelena Yuditsky Department of Mathematics, Ben-Gurion University of the Negev, Be’er-Sheva, Israel [email protected] Abstract We study a natural generalization of the classical -net problem (Haussler–Welzl 1987), which we t call the -t-net problem: Given a hypergraph on n vertices and parameters t and ≥ n , find a minimum-sized family S of t-element subsets of vertices such that each hyperedge of size at least n contains a set in S. When t = 1, this corresponds to the -net problem. We prove that any sufficiently large hypergraph with VC-dimension d admits an -t-net of (1+log t)d 1 size O( log ). For some families of geometrically-defined hypergraphs (such as the dual 1 hypergraph of regions with linear union complexity), we prove the existence of O( )-sized -t-nets. We also present an explicit construction of -t-nets (including -nets) for hypergraphs with bounded VC-dimension. In comparison to previous constructions for the special case of -nets (i.e., for t = 1), it does not rely on advanced derandomization techniques. -
CFA2: Pushdown Flow Analysis for Higher-Order Languages
CFA2: Pushdown Flow Analysis for Higher-Order Languages A dissertation presented by Dimitrios Vardoulakis to the Faculty of the Graduate School of the College of Computer and Information Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy Northeastern University Boston, Massachusetts August 20, 2012 Abstract In a higher-order language, the dominant control-flow mechanism is func- tion call and return. Most higher-order flow analyses do not handle call and return well: they remember only a bounded number of pending calls because they approximate programs as finite-state machines. Call/return mismatch introduces precision-degrading spurious execution paths and in- creases the analysis time. We present flow analyses that provide unbounded call/return matching in a general setting: our analyses apply to typed and untyped languages, with first-class functions, side effects, tail calls and first-class control. This is made possible by several individual techniques. We generalize Sharir and Pnueli’s summarization technique to handle expressive control constructs, such as tail calls and first-class continuations. We propose a syntactic classi- fication of variable references that allows precise lookups for non-escaping references and falls back to a conservative approximation for references cap- tured in closures. We show how to structure a flow analysis like a traditional interpreter based on big-step semantics. With this formulation, expressions use the analysis results of their subexpressions directly, which minimizes caching and makes the analysis faster. We present experimental results from two implementations for Scheme and JavaScript, which show that our anal- yses are precise and fast in practice. -
Crossing-Free Configurations on Planar Point Sets
Diss. ETH No. 18607 Crossing-Free Configurations on Planar Point Sets A dissertation submitted to the Swiss Federal Institute of Technology Zurich for the degree of Doctor of Sciences presented by Andreas Razen Dipl. Math. ETH born May 7, 1982 citizen of Austria accepted on the recommendation of Prof. Dr. Emo Welzl, examiner Prof. Dr. Jack Snoeyink, co-examiner Dr. Uli Wagner, co-examiner 2009 to my parents Acknowledgments I am deeply grateful to my supervisor Emo Welzl for his motivating and encouraging support during my time as Ph.D. student. He introduced me to the beautiful field of geometric graph theory, and with his inspiring advice he made it an unforgettable experience to learn from him. It was an honor being part of his research group Gremo, which provided both a stimulating research environment and a wonderful academic home where I met people who I will greatly miss. My sincerest thanks go to Jack Snoeyink for working with me and giving me the opportunity to learn about applications of geometric computations in molecular biology, for reviewing my thesis and providing me with many valuable suggestions and comments which greatly helped to improve the presentation of this dissertation. I am also indebted to Uli Wagner for working together with me on the transformation graphs of compatible spanning trees, for broadening my horizon by teaching vivid courses on Fourier-analytic, topological, and algebraic methods in combinatorics, and for co-refereeing my thesis and commenting on its write-up. I would like to thank all the current and previous members of Gremo for making my time as Ph.D. -
Prof. Micha Sharir – CV
Prof. Micha Sharir – CV June 2018 Micha Sharir is a professor of computer science at Tel Aviv University, and the incumbent of the Isaias and Alicia Nizri Chair in Computational Geometry and Robotics. He has also been a visiting research professor at New York University, and has served (twice) as the Chair of the Computer Science Department, and also as the Head of the School of mathematical Sciences. He received his degrees (B.Sc., M.Sc., and Ph.D.) in Mathematics from Tel Aviv University. He is also a co-founder of the Minerva Minkowski Center in Geometry. His research areas are in computational and combinatorial geometry, and in the past also in robotics, as well as their numerous applications. With Jack Schwartz of NYU, in a series of works on “the piano movers’ problem”, he founded the area of algorithmic motion planning in robotics, and has made many fundamental contributions to this area. His extensive work in computational and combinatorial geometry includes the study of Davenport-Schinzel sequences and their numerous geometric applications, the development of the theory of geometric arrangements and their diverse applications, the study of basic problems in geometric optimization, including efficient algorithms for linear programming and so-called LP-type problems, and the study of various basic problems in combinatorial geometry, including incidences between points and lines, curves, or surfaces. In the past decade he has worked on the applications of algebraic techniques to problems in combinatorial geometry, where he co-authored several of the recent major ground-breaking results. Prof. Sharir has published about 350 papers, and also about 250 papers in conference proceedings. -
Federated Computing Research Conference, FCRC’96, Which Is David Wise, Steering Being Held May 20 - 28, 1996 at the Philadelphia Downtown Marriott
CRA Workshop on Academic Careers Federated for Women in Computing Science 23rd Annual ACM/IEEE International Symposium on Computing Computer Architecture FCRC ‘96 ACM International Conference on Research Supercomputing ACM SIGMETRICS International Conference Conference on Measurement and Modeling of Computer Systems 28th Annual ACM Symposium on Theory of Computing 11th Annual IEEE Conference on Computational Complexity 15th Annual ACM Symposium on Principles of Distributed Computing 12th Annual ACM Symposium on Computational Geometry First ACM Workshop on Applied Computational Geometry ACM/UMIACS Workshop on Parallel Algorithms ACM SIGPLAN ‘96 Conference on Programming Language Design and Implementation ACM Workshop of Functional Languages in Introductory Computing Philadelphia Skyline SIGPLAN International Conference on Functional Programming 10th ACM Workshop on Parallel and Distributed Simulation Invited Speakers Wm. A. Wulf ACM SIGMETRICS Symposium on Burton Smith Parallel and Distributed Tools Cynthia Dwork 4th Annual ACM/IEEE Workshop on Robin Milner I/O in Parallel and Distributed Systems Randy Katz SIAM Symposium on Networks and Information Management Sponsors ACM CRA IEEE NSF May 20-28, 1996 SIAM Philadelphia, PA FCRC WELCOME Organizing Committee Mary Jane Irwin, Chair Penn State University Steve Mahaney, Vice Chair Rutgers University Alan Berenbaum, Treasurer AT&T Bell Laboratories Frank Friedman, Exhibits Temple University Sampath Kannan, Student Coordinator Univ. of Pennsylvania Welcome to the second Federated Computing Research Conference, FCRC’96, which is David Wise, Steering being held May 20 - 28, 1996 at the Philadelphia downtown Marriott. This second Indiana University FCRC follows the same model of the highly successful first conference, FCRC’93, in Janice Cuny, Careers which nine constituent conferences participated. -
LINEAR PROGRAMMING Martin Dyer, Bernd G¨Artner, Nimrod Megiddo, and Emo Welzl
49 LINEAR PROGRAMMING Martin Dyer, Bernd G¨artner, Nimrod Megiddo, and Emo Welzl INTRODUCTION Linear programming has many important practical applications, and has also given rise to a wide body of theory. See Section 49.9 for recommended sources. Here we consider the linear programming problem in the form of maximizing a linear function of d variables subject to n linear inequalities. We focus on the relationship of the problem to computational geometry, i.e., we consider the problem in small dimension. More precisely, we concentrate on the case where d n, i.e., d = d(n) is a function that grows very slowly with n. By linear programming≪ duality, this also includes the case n d. This has been called fixed-dimensional linear programming, though our viewpoint≪ here will not treat d as constant. In this case there are strongly polynomial algorithms, provided the rate of growth of d with n is small enough. The plan of the chapter is as follows. In Section 49.2 we consider the sim- plex method, in Section 49.3 we review deterministic linear time algorithms, in Section 49.4 randomized algorithms, and in Section 49.5 we consider the deran- domization of the latter. Section 49.6 discusses the combinatorial framework of LP-type problems, which underlie most current combinatorial algorithms and al- lows their application to a host of optimization problems. We briefly describe the more recent combinatorial framework of unique sink orientations, in the context of striving for algorithms with a milder dependence on d. In Section 49.7 we examine parallel algorithms for this problem, and finally in Section 49.8 we briefly discuss related issues.