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Tiling a Rectangle with Polyominoes Olivier Bodini
Tiling a Rectangle with Polyominoes Olivier Bodini To cite this version: Olivier Bodini. Tiling a Rectangle with Polyominoes. Discrete Models for Complex Systems, DMCS’03, 2003, Lyon, France. pp.81-88. hal-01183321 HAL Id: hal-01183321 https://hal.inria.fr/hal-01183321 Submitted on 12 Aug 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Discrete Mathematics and Theoretical Computer Science AB(DMCS), 2003, 81–88 Tiling a Rectangle with Polyominoes Olivier Bodini1 1LIRMM, 161, rue ADA, 34392 Montpellier Cedex 5, France A polycube in dimension d is a finite union of unit d-cubes whose vertices are on knots of the lattice Zd. We show that, for each family of polycubes E, there exists a finite set F of bricks (parallelepiped rectangles) such that the bricks which can be tiled by E are exactly the bricks which can be tiled by F. Consequently, if we know the set F, then we have an algorithm to decide in polynomial time if a brick is tilable or not by the tiles of E. please also repeat in the submission form Keywords: Tiling, Polyomino 1 Introduction A polycube in dimension d (or more simply a polycube) is a finite -not necessarily connected- union of unit cubes whose vertices are on nodes of the lattice Zd . -
Stony Brook University
SSStttooonnnyyy BBBrrrooooookkk UUUnnniiivvveeerrrsssiiitttyyy The official electronic file of this thesis or dissertation is maintained by the University Libraries on behalf of The Graduate School at Stony Brook University. ©©© AAAllllll RRRiiiggghhhtttsss RRReeessseeerrrvvveeeddd bbbyyy AAAuuuttthhhooorrr... Combinatorics and Complexity in Geometric Visibility Problems A Dissertation Presented by Justin G. Iwerks to The Graduate School in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Applied Mathematics and Statistics (Operations Research) Stony Brook University August 2012 Stony Brook University The Graduate School Justin G. Iwerks We, the dissertation committee for the above candidate for the Doctor of Philosophy degree, hereby recommend acceptance of this dissertation. Joseph S. B. Mitchell - Dissertation Advisor Professor, Department of Applied Mathematics and Statistics Esther M. Arkin - Chairperson of Defense Professor, Department of Applied Mathematics and Statistics Steven Skiena Distinguished Teaching Professor, Department of Computer Science Jie Gao - Outside Member Associate Professor, Department of Computer Science Charles Taber Interim Dean of the Graduate School ii Abstract of the Dissertation Combinatorics and Complexity in Geometric Visibility Problems by Justin G. Iwerks Doctor of Philosophy in Applied Mathematics and Statistics (Operations Research) Stony Brook University 2012 Geometric visibility is fundamental to computational geometry and its ap- plications in areas such as robotics, sensor networks, CAD, and motion plan- ning. We explore combinatorial and computational complexity problems aris- ing in a collection of settings that depend on various notions of visibility. We first consider a generalized version of the classical art gallery problem in which the input specifies the number of reflex vertices r and convex vertices c of the simple polygon (n = r + c). -
A New Mathematical Model for Tiling Finite Regions of the Plane with Polyominoes
Volume 15, Number 2, Pages 95{131 ISSN 1715-0868 A NEW MATHEMATICAL MODEL FOR TILING FINITE REGIONS OF THE PLANE WITH POLYOMINOES MARCUS R. GARVIE AND JOHN BURKARDT Abstract. We present a new mathematical model for tiling finite sub- 2 sets of Z using an arbitrary, but finite, collection of polyominoes. Unlike previous approaches that employ backtracking and other refinements of `brute-force' techniques, our method is based on a systematic algebraic approach, leading in most cases to an underdetermined system of linear equations to solve. The resulting linear system is a binary linear pro- gramming problem, which can be solved via direct solution techniques, or using well-known optimization routines. We illustrate our model with some numerical examples computed in MATLAB. Users can download, edit, and run the codes from http://people.sc.fsu.edu/~jburkardt/ m_src/polyominoes/polyominoes.html. For larger problems we solve the resulting binary linear programming problem with an optimization package such as CPLEX, GUROBI, or SCIP, before plotting solutions in MATLAB. 1. Introduction and motivation 2 Consider a planar square lattice Z . We refer to each unit square in the lattice, namely [~j − 1; ~j] × [~i − 1;~i], as a cell.A polyomino is a union of 2 a finite number of edge-connected cells in the lattice Z . We assume that the polyominoes are simply-connected. The order (or area) of a polyomino is the number of cells forming it. The polyominoes of order n are called n-ominoes and the cases for n = 1; 2; 3; 4; 5; 6; 7; 8 are named monominoes, dominoes, triominoes, tetrominoes, pentominoes, hexominoes, heptominoes, and octominoes, respectively. -
Folding Polyominoes Into (Poly)Cubes
Folding polyominoes into (poly)cubes Citation for published version (APA): Aichholzer, O., Biro, M., Demaine, E. D., Demaine, M. L., Eppstein, D., Fekete, S. P., Hesterberg, A., Kostitsyna, I., & Schmidt, C. (2015). Folding polyominoes into (poly)cubes. In Proc. 27th Canadian Conference on Computational Geometry (CCCG) (pp. 1-6). [37] http://research.cs.queensu.ca/cccg2015/CCCG15- papers/37.pdf Document status and date: Published: 01/01/2015 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. -
Common Unfoldings of Polyominoes and Polycubes
Common Unfoldings of Polyominoes and Polycubes Greg Aloupis1, Prosenjit K. Bose3, S´ebastienCollette2, Erik D. Demaine4, Martin L. Demaine4, Karim Dou¨ıeb3, Vida Dujmovi´c3, John Iacono5, Stefan Langerman2?, and Pat Morin3 1 Academia Sinica 2 Universit´eLibre de Bruxelles 3 Carleton University 4 Massachusetts Institute of Technology 5 Polytechnic Institute of New York University Abstract. This paper studies common unfoldings of various classes of polycubes, as well as a new type of unfolding of polyominoes. Previously, Knuth and Miller found a common unfolding of all tree-like tetracubes. By contrast, we show here that all 23 tree-like pentacubes have no such common unfolding, although 22 of them have a common unfolding. On the positive side, we show that there is an unfolding common to all “non-spiraling” k-ominoes, a result that extends to planar non-spiraling k-cubes. 1 Introduction Polyominoes. A polyomino or k-omino is a weakly simple orthogonal polygon made from k unit squares placed on a unit square grid. Here the polygon explicitly specifies the boundary, so that two squares might share two grid points yet we consider them to be not adjacent. Two unit squares of the polyomino are adjacent if their shared side is interior to the polygon; otherwise, the intervening two edges of polygon boundary are called an incision. By imagining the boundary as a cycle (essentially an Euler tour), each edge of the boundary has a unique incident unit square of the polyomino. In this paper, we consider only “tree-like” polyominoes. A polyomino is tree- like if its dual graph, which has a vertex for each unit square and an edge for each adjacency (as defined above), is a tree. -
Embedded System Security: Prevention Against Physical Access Threats Using Pufs
International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) | e-ISSN: 2319-8753, p-ISSN: 2320-6710| www.ijirset.com | Impact Factor: 7.512| || Volume 9, Issue 8, August 2020 || Embedded System Security: Prevention Against Physical Access Threats Using PUFs 1 2 3 4 AP Deepak , A Krishna Murthy , Ansari Mohammad Abdul Umair , Krathi Todalbagi , Dr.Supriya VG5 B.E. Students, Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India1,2,3,4 Professor, Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India5 ABSTRACT: Embedded systems are the driving force in the development of technology and innovation. It is used in plethora of fields ranging from healthcare to industrial sectors. As more and more devices come into picture, security becomes an important issue for critical application with sensitive data being used. In this paper we discuss about various vulnerabilities and threats identified in embedded system. Major part of this paper pertains to physical attacks carried out where the attacker has physical access to the device. A Physical Unclonable Function (PUF) is an integrated circuit that is elementary to any hardware security due to its complexity and unpredictability. This paper presents a new low-cost CMOS image sensor and nano PUF based on PUF targeting security and privacy. PUFs holds the future to safer and reliable method of deploying embedded systems in the coming years. KEYWORDS:Physically Unclonable Function (PUF), Challenge Response Pair (CRP), Linear Feedback Shift Register (LFSR), CMOS Image Sensor, Polyomino Partition Strategy, Memristor. I. INTRODUCTION The need for security is universal and has become a major concern in about 1976, when the first initial public key primitives and protocols were established. -
SOMA CUBE Thorleif's SOMA Page
SOMA CUBE Thorleif's SOMA page : http://fam-bundgaard.dk/SOMA/SOMA.HTM Standard SOMA figures Stran 1 Stran 2 Stran 3 Stran 4 Stran 5 Stran 6 Stran 7 Stran 8 Stran 9 Stran 10 Stran 11 Stran 12 Stran 13 Stran 14 Stran 15 Stran 16 Stran 17 Stran 18 Stran 19 Stran 20 Stran 21 Stran 22 Stran 23 Stran 24 Stran 25 Stran 26 Stran 27 Stran 28 Stran 29 Stran 30 Special SOMA collection Stran 31 . Pairs of figures Pairs Stran 32 Figures NOT using using 7 pieces. Figures NOT Stran 33 Double set Double figures. Stran 34 Double set Double figures. Stran 35 Double set Double figures. Stran 36 Special Double/Tripple etc. set figures. Double/Tripple Special Stran 37 Paulo Brina 'Quad' collection Stran 38 Quad set figures. Quad set Stran 39 SOMA NEWS A 4 set SOMA figure is large. March 25 2010 Just as I thought SOMA was fading, I heard from Paulo Brina of Belo Horizonte, Brasil. The story he told was BIG SOMA Joining the rest of us, SOMA maniacs, Paulo was tired of the old 7 piece soma, so he began to play Tetra-SOMA, using 4 sets = 28 pieces = 108 cubes. The tetra set, home made, stainless steel (it's polished, so, it's hard to take photos) Notice the extreme beauty this polished set exhibits. :o) As Paulo wrote "It's funny. More possibilities, more complexity." Stran 40 Lets look at the pictures. 001 bloc 2x7x9 = 126, so we have 18 holes/gaps 002 A 5x5x5 cube would make 125, . -
Folding Small Polyominoes Into a Unit Cube
CCCG 2020, Saskatoon, Canada, August 5{7, 2020 Folding Small Polyominoes into a Unit Cube Kingston Yao Czajkowski∗ Erik D. Demaine† Martin L. Demaine† Kim Eppling‡ Robby Kraft§ Klara Mundilova† Levi Smith¶ Abstract tackle the analogous problem for smaller polyominoes, with at most nine squares.2 We demonstrate that a 3 × 3 square can fold into a unit Any polyomino folding into a unit cube has at least cube using horizontal, vertical, and diagonal creases on six squares (because the cube has surface area 6). In- the 6 × 6 half-grid. Together with previous results, this deed, for hexominoes, the half-grid and diagonal fea- result implies that all tree-shaped polyominoes with at tures of the model are not useful, because the folding least nine squares fold into a unit cube. We also make cannot have any overlap (again by an area argument). partial progress on the analogous problem for septomi- Therefore, the hexominoes that fold into a unit cube are noes and octominoes by showing a half-grid folding of exactly the eleven hexomino nets of the cube; see e.g. the U septomino and 2 × 4 rectangle into a unit cube. Gardner [Gar89] for the list. Aichholzer et al. [ABD+18, Fig. 16] verified by exhaustive search that this claim re- 1 Introduction mains true even if we allow cutting the polyomino with slits until the dual graph (with a vertex for each square Which polyominoes fold into a unit cube? Aichholzer et and edges for uncut edge adjacency) is a tree; we call al. [ABD+18] introduced this problem at CCCG 2015, these tree-shaped polyominoes. -
SUDOKU PUZZLE SECRETS: Learn How to Solve Sudoku Puzzles with Little Effort TABLE of CONTENTS
SUDOKU PUZZLE SECRETS: Learn How to Solve Sudoku Puzzles With Little Effort TABLE OF CONTENTS INTRODUCTION ………………………………………….. 04 CHAPTER 1: HISTORY OF SUDOKU ………………… 06 CHAPTER 2: SUDOKU EXPLAINED …………………. 08 Variants ………………………………………………… 08 Japanese Variants ………………………………….. 10 Terminology and Rules ……………………………. 12 CHAPTER 3: THE MATH BEHIND SUDOKU ……….. 13 A Latin Square ………………………………………… 14 Unique Grids …………………………………………… 15 CHAPTER 4: CONSTRUCTION OF THE PUZZLE ….. 16 CHAPTER 5: SOLUTION METHODS–SCANNING ... 18 Cross-Hatching And Counting ……………………. 20 CHAPTER 6: BEGINNING THE CHALLENGE ………. 21 Guessing ………………………………………………… 23 Starting The Game …………………………………… 23 CHAPTER 7: CHANGE OF STRATEGY ………………… 28 Searching For The Lone Number ………………… 28 Twins …………………………………………………….. 30 2 Triplets …………………………………………………… 32 CHAPTER 8: ELIMINATE THE EXTRANEOUS ……… 34 Three Numbers Exclusively ………………………. 38 Step Up The Action …………………………………… 39 CHAPTER 9: WHEN EVERYTHING ELSE FAILS …... 41 Ariadne’s Thread ……………………………………… 42 CHAPTER 10: SOLVING A DIABOLICAL PUZZLE … 43 CHAPTER 11: SAMPLE SUDOKU PUZZLES ………….47 CHAPTER 12: SOLUTIONS ……………………………… 53 CONCLUSION ………………………………………………. 58 3 INTRODUCTION It seems that these days everyone is enjoying the game of Sudoko wherever they are. The Sudoku puzzle is ideal for whenever you have a few spare minutes and want to indulge in a little bit of thinking power. Sudoku, sometimes spelled “Su Doku”, is a puzzle that originated in Japan. The puzzle is known as a “placement” puzzle. In the United States Sudoku is sometimes called the “Number Place” puzzle. People of all ages and from all backgrounds are finding that Sudoku is a great way to keep their mind active and thinking. Puzzles range all the way from easy for the beginner to extremely difficult for the more advanced puzzler. Sudoku is easy to take with you wherever you go so that you can indulge in a little bit of number guessing whenever you have a few spare minutes. -
Area and Perimeter
2.2 Area and Perimeter Perimeter is easy to define: it’s the distance all the way round the edge of a shape (land sometimes has a “perimeter fence”). (The perimeter of a circle is called its circumference.) Some pupils will want to mark a dot where they start measuring/counting the perimeter so that they know where to stop. Some may count dots rather than edges and get 1 unit too much. Area is a harder concept. “Space” means 3-d to most people, so it may be worth trying to avoid that word: you could say that area is the amount of surface a shape covers. (Surface area also applies to 3-d solids.) (Loosely, perimeter is how much ink you’d need to draw round the edge of the shape; area is how much ink you’d need to colour it in.) It’s good to get pupils measuring accurately-drawn drawings or objects to get a feel for how small an area of 20 cm2, for example, actually is. For comparisons between volume and surface area of solids, see section 2:10. 2.2.1 Draw two rectangles (e.g., 6 × 4 and 8 × 3) on a They’re both rectangles, both contain the same squared whiteboard (or squared acetate). number of squares, both have same area. “Here are two shapes. What’s the same about them One is long and thin, different side lengths. and what’s different?” Work out how many squares they cover. (Imagine Infinitely many; e.g., 2.4 cm by 10 cm. -
1970-2020 TOPIC INDEX for the College Mathematics Journal (Including the Two Year College Mathematics Journal)
1970-2020 TOPIC INDEX for The College Mathematics Journal (including the Two Year College Mathematics Journal) prepared by Donald E. Hooley Emeriti Professor of Mathematics Bluffton University, Bluffton, Ohio Each item in this index is listed under the topics for which it might be used in the classroom or for enrichment after the topic has been presented. Within each topic entries are listed in chronological order of publication. Each entry is given in the form: Title, author, volume:issue, year, page range, [C or F], [other topic cross-listings] where C indicates a classroom capsule or short note and F indicates a Fallacies, Flaws and Flimflam note. If there is nothing in this position the entry refers to an article unless it is a book review. The topic headings in this index are numbered and grouped as follows: 0 Precalculus Mathematics (also see 9) 0.1 Arithmetic (also see 9.3) 0.2 Algebra 0.3 Synthetic geometry 0.4 Analytic geometry 0.5 Conic sections 0.6 Trigonometry (also see 5.3) 0.7 Elementary theory of equations 0.8 Business mathematics 0.9 Techniques of proof (including mathematical induction 0.10 Software for precalculus mathematics 1 Mathematics Education 1.1 Teaching techniques and research reports 1.2 Courses and programs 2 History of Mathematics 2.1 History of mathematics before 1400 2.2 History of mathematics after 1400 2.3 Interviews 3 Discrete Mathematics 3.1 Graph theory 3.2 Combinatorics 3.3 Other topics in discrete mathematics (also see 6.3) 3.4 Software for discrete mathematics 4 Linear Algebra 4.1 Matrices, systems -
Tiling with Polyominoes, Polycubes, and Rectangles
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2015 Tiling with Polyominoes, Polycubes, and Rectangles Michael Saxton University of Central Florida Part of the Mathematics Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Saxton, Michael, "Tiling with Polyominoes, Polycubes, and Rectangles" (2015). Electronic Theses and Dissertations, 2004-2019. 1438. https://stars.library.ucf.edu/etd/1438 TILING WITH POLYOMINOES, POLYCUBES, AND RECTANGLES by Michael A. Saxton Jr. B.S. University of Central Florida, 2013 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the Department of Mathematics in the College of Sciences at the University of Central Florida Orlando, Florida Fall Term 2015 Major Professor: Michael Reid ABSTRACT In this paper we study the hierarchical structure of the 2-d polyominoes. We introduce a new infinite family of polyominoes which we prove tiles a strip. We discuss applications of algebra to tiling. We discuss the algorithmic decidability of tiling the infinite plane Z × Z given a finite set of polyominoes. We will then discuss tiling with rectangles. We will then get some new, and some analogous results concerning the possible hierarchical structure for the 3-d polycubes. ii ACKNOWLEDGMENTS I would like to express my deepest gratitude to my advisor, Professor Michael Reid, who spent countless hours mentoring me over my time at the University of Central Florida.