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Page 2 Lecture Notes in Computer Science 4475 Commenced ...

Page 2 Lecture Notes in Computer Science 4475 Commenced ...

Page 2 Lecture Notes in Computer Science 4475 Commenced

  • Page 2 and 3: Lecture Notes in Computer Science 4
  • Page 4 and 5: Volume Editors Pierluigi Crescenzi
  • Page 6 and 7: Program Chairs Conference Organizat
  • Page 8 and 9: Table of Contents On Embedding a Gr
  • Page 10 and 11: On Embedding a Graph in the Grid wi
  • Page 12 and 13: On Embedding a Graph in the Grid wi
  • Page 14 and 15: On Embedding a Graph in the Grid wi
  • Page 16 and 17: On Embedding a Graph in the Grid wi
  • Page 18 and 19: On Embedding a Graph in the Grid wi
  • Page 20 and 21: On Embedding a Graph in the Grid wi
  • Page 22 and 23: On Embedding a Graph in the Grid wi
  • Page 24 and 25: Fun with Sub-linear Time Algorithms
  • Page 26 and 27: Wooden Geometric Puzzles: Design an
  • Page 28 and 29: Wooden Geometric Puzzles: Design an
  • Page 30 and 31: length N − 1 Wooden Geometric Puz
  • Page 32 and 33: nG 4 nG nG Wooden Geometric Puzzles
  • Page 34 and 35: Wooden Geometric Puzzles: Design an
  • Page 36 and 37: Wooden Geometric Puzzles: Design an
  • Page 38 and 39: Wooden Geometric Puzzles: Design an
  • Page 40 and 41: HIROIMONO Is NP-Complete 31 We will
  • Page 42 and 43: C1 C2 C3 C4 HIROIMONO Is NP-Complet
  • Page 44 and 45: if t(xi) =⊤ if t(xi) =⊥ Rsc HIR
  • Page 46 and 47: HIROIMONO Is NP-Complete 37 - There
  • Page 48 and 49: HIROIMONO Is NP-Complete 39 Peter B
  • Page 50 and 51: Tablatures for Stringed Instruments
  • Page 52 and 53:

    Tablatures for Stringed Instruments

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    Tablatures for Stringed Instruments

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    Tablatures for Stringed Instruments

  • Page 58 and 59:

    E B G D A E Tablatures for Stringed

  • Page 60 and 61:

    C C♯ Tablatures for Stringed Inst

  • Page 62 and 63:

    Knitting for Fun: A Recursive Sweat

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    Knitting for Fun: A Recursive Sweat

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    Knitting for Fun: A Recursive Sweat

  • Page 68 and 69:

    Knitting for Fun: A Recursive Sweat

  • Page 70 and 71:

    Knitting for Fun: A Recursive Sweat

  • Page 72 and 73:

    Knitting for Fun: A Recursive Sweat

  • Page 74 and 75:

    7 Concluding Remarks Knitting for F

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    Pictures from Mongolia 67 this pape

  • Page 78 and 79:

    Pictures from Mongolia 69 elements

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    4 Small-Width Posets Pictures from

  • Page 82 and 83:

    log n−1 � i=log n−⌊log w⌋

  • Page 84 and 85:

    Algorithm 3. An algorithm for good

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    Pictures from Mongolia 77 Note that

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    Efficient Algorithms for the Spoone

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    Efficient Algorithms for the Spoone

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    Efficient Algorithms for the Spoone

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    4 An Improved Algorithm Efficient A

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    Efficient Algorithms for the Spoone

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    Efficient Algorithms for the Spoone

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    Efficient Algorithms for the Spoone

  • Page 102 and 103:

    High Spies (or How to Win a Program

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    2 Problem Model High Spies (or How

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    High Spies (or How to Win a Program

  • Page 108 and 109:

    High Spies (or How to Win a Program

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    High Spies (or How to Win a Program

  • Page 112 and 113:

    ❦ c(i1,j) ✻c(j, i1) ❦✛c(j,

  • Page 114 and 115:

    High Spies (or How to Win a Program

  • Page 116 and 117:

    6 Concluding Remarks High Spies (or

  • Page 118 and 119:

    Robots and Demons (The Code of the

  • Page 120 and 121:

    Robots and Demons (The Code of the

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    Robots and Demons (The Code of the

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    Robots and Demons (The Code of the

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    4.2 Gathering Problem Robots and De

  • Page 128 and 129:

    Robots and Demons (The Code of the

  • Page 130 and 131:

    The Traveling Beams Optical Solutio

  • Page 132 and 133:

    The Traveling Beams Optical Solutio

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    The Traveling Beams Optical Solutio

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    The Traveling Beams Optical Solutio

  • Page 138 and 139:

    The Traveling Beams Optical Solutio

  • Page 140 and 141:

    The Traveling Beams Optical Solutio

  • Page 142 and 143:

    e 2 V2 e5 V 1 V 3 e 6 e1 =(v1 ,v2 )

  • Page 144 and 145:

    The Worst Page-Replacement Policy

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    The Worst Page-Replacement Policy 1

  • Page 148 and 149:

    The Worst Page-Replacement Policy 1

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    The Worst Page-Replacement Policy 1

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    The Worst Page-Replacement Policy 1

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    The Worst Page-Replacement Policy 1

  • Page 156 and 157:

    y ′ y ′′ z Fig. 1. Cutting of

  • Page 158 and 159:

    Die Another Day 149 In Section 4 we

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    Die Another Day 151 infinite subseq

  • Page 162 and 163:

    Die Another Day 153 given by the le

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    Die Another Day 155 20. Leadbetter,

  • Page 166 and 167:

    Approximating Rational Numbers by F

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    Approximating Rational Numbers by F

  • Page 170 and 171:

    Approximating Rational Numbers by F

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    Approximating Rational Numbers by F

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    Approximating Rational Numbers by F

  • Page 176 and 177:

    Cryptographic and Physical Zero-Kno

  • Page 178 and 179:

    Cryptographic and Physical Zero-Kno

  • Page 180 and 181:

    Cryptographic and Physical Zero-Kno

  • Page 182 and 183:

    Cryptographic and Physical Zero-Kno

  • Page 184 and 185:

    Cryptographic and Physical Zero-Kno

  • Page 186 and 187:

    Cryptographic and Physical Zero-Kno

  • Page 188 and 189:

    Cryptographic and Physical Zero-Kno

  • Page 190 and 191:

    Cryptographic and Physical Zero-Kno

  • Page 192 and 193:

    Sorting the Slow Way: An Analysis o

  • Page 194 and 195:

    Sorting the Slow Way 185 We come to

  • Page 196 and 197:

    Sorting the Slow Way 187 whichintur

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    Sorting the Slow Way 189 Unfortunat

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    Sorting the Slow Way 191 We can use

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    Sorting the Slow Way 193 stops does

  • Page 204 and 205:

    3.2 Comments on Optimized Variants

  • Page 206 and 207:

    5 Conclusions Sorting the Slow Way

  • Page 208 and 209:

    0 2 1 2 1 4 2 4 3 0 2 The Troubles

  • Page 210 and 211:

    ≥ 1 ≥ 1 The Troubles of Interio

  • Page 212 and 213:

    5 5 5 3 3 3 3 3 2 2 5 5 5 3 3 3 3 3

  • Page 214 and 215:

    The Troubles of Interior Design 205

  • Page 216 and 217:

    ≥ 1 ≥ 1 The Troubles of Interio

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    The Troubles of Interior Design 209

  • Page 220 and 221:

    5 5 3 3 3 2 5 0 3 5 0 The Troubles

  • Page 222 and 223:

    Drawing Borders Efficiently Kazuo I

  • Page 224 and 225:

    Drawing Borders Efficiently 215 As

  • Page 226 and 227:

    Drawing Borders Efficiently 217 (1)

  • Page 228 and 229:

    Drawing Borders Efficiently 219 Tab

  • Page 230 and 231:

    Fig. 8. Pattern P Drawing Borders E

  • Page 232 and 233:

    1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 9 (1)

  • Page 234 and 235:

    Fig. 11. ProofofProposition1 Drawin

  • Page 236 and 237:

    The Ferry Cover Problem Michael Lam

  • Page 238 and 239:

    The Ferry Cover Problem 229 Given a

  • Page 240 and 241:

    The Ferry Cover Problem 231 For |V

  • Page 242 and 243:

    The Ferry Cover Problem 233 Trip-Co

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    The Ferry Cover Problem 235 the col

  • Page 246 and 247:

    The Ferry Cover Problem 237 5 The T

  • Page 248 and 249:

    The Ferry Cover Problem 239 there e

  • Page 250 and 251:

    v n-1 v 0 v 1 Web Marshals Fighting

  • Page 252 and 253:

    Web Marshals Fighting Curly Link Fa

  • Page 254 and 255:

    n -2 n -1 Web Marshals Fighting Cur

  • Page 256 and 257:

    v n-1 v 0 C 1 v 1 Web Marshals Figh

  • Page 258 and 259:

    Intruder Capture in Sierpiński Gra

  • Page 260 and 261:

    Intruder Capture in Sierpiński Gra

  • Page 262 and 263:

    Intruder Capture in Sierpiński Gra

  • Page 264 and 265:

    H 1 a) 2 agents, 2 moves, 2 time st

  • Page 266 and 267:

    Intruder Capture in Sierpiński Gra

  • Page 268 and 269:

    Intruder Capture in Sierpiński Gra

  • Page 270 and 271:

    Intruder Capture in Sierpiński Gra

  • Page 272 and 273:

    On the Complexity of the Traffic Gr

  • Page 274 and 275:

    On the Complexity of the Traffic Gr

  • Page 276 and 277:

    On the Complexity of the Traffic Gr

  • Page 278 and 279:

    On the Complexity of the Traffic Gr

  • Page 280 and 281:

    On the Complexity of the Traffic Gr

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