- Page 2 and 3: Lecture Notes in Computer Science 4
- Page 4 and 5: Volume EditorsPierluigi CrescenziUn
- Page 6 and 7: Conference OrganizationProgram Chai
- Page 8 and 9: Table of ContentsOn Embedding a Gra
- Page 10 and 11: On Embedding a Graph in the Grid wi
- Page 12 and 13: On Embedding a Graph in the Grid wi
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- 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: Wooden Geometric Puzzles: Design an
- Page 32 and 33: Wooden Geometric Puzzles: Design an
- 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 31We will
- Page 42 and 43: HIROIMONO Is NP-Complete 33x 1 x 1
- Page 44 and 45: HIROIMONO Is NP-Complete 35R chi (t
- Page 46 and 47: HIROIMONO Is NP-Complete 37- There
- Page 48 and 49: HIROIMONO Is NP-Complete 39Peter Br
- Page 52 and 53: Tablatures for Stringed Instruments
- Page 54 and 55: Tablatures for Stringed Instruments
- Page 56 and 57: Tablatures for Stringed Instruments
- Page 58 and 59: Tablatures for Stringed Instruments
- Page 60 and 61: Tablatures for Stringed Instruments
- Page 62 and 63: Knitting for Fun: A Recursive Sweat
- Page 64 and 65: Knitting for Fun: A Recursive Sweat
- Page 66 and 67: 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: Knitting for Fun: A Recursive Sweat
- Page 76 and 77: Pictures from Mongolia 67this paper
- Page 78 and 79: Pictures from Mongolia 69elements x
- Page 80 and 81: Pictures from Mongolia 714 Small-Wi
- Page 82 and 83: Pictures from Mongolia 73log n−1
- Page 84 and 85: Algorithm 3. An algorithm for good
- Page 86 and 87: Pictures from Mongolia 77Note that,
- Page 88 and 89: Efficient Algorithms for the Spoone
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Efficient Algorithms for the Spoone
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High Spies(or How to Win a Programm
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2 Problem ModelHigh Spies (or How t
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High Spies (or How to Win a Program
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High Spies (or How to Win a Program
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High Spies (or How to Win a Program
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High Spies (or How to Win a Program
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High Spies (or How to Win a Program
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6 Concluding RemarksHigh Spies (or
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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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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 ProblemRobots and Dem
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Robots and Demons (The Code of the
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The Traveling Beams Optical Solutio
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The Traveling Beams Optical Solutio
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The Traveling Beams Optical Solutio
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The Traveling Beams Optical Solutio
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The Traveling Beams Optical Solutio
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The Traveling Beams Optical Solutio
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The Traveling Beams Optical Solutio
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The Worst Page-Replacement Policy
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The Worst Page-Replacement Policy 1
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140 K. Agrawal, M.A. Bender, and J.
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142 K. Agrawal, M.A. Bender, and J.
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144 K. Agrawal, M.A. Bender, and J.
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Die Another DayRudolf Fleischer ⋆
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148 R. Fleischer(P1) The subtree to
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150 R. FleischerAmerican when Gardn
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152 R. Fleischeryy y ′uzvxwyuzu
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154 R. FleischerReferences1. Avigad
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Approximating Rational Numbers by F
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158 M. Forišekcontains all fractio
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160 M. ForišekTable 1. Example inp
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162 M. ForišekWe assumed that p a
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164 M. Forišek}# update the interv
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Cryptographic and Physical Zero-Kno
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168 R. Gradwohl et al.Organization:
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170 R. Gradwohl et al.turning the c
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172 R. Gradwohl et al.Proof sketch
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174 R. Gradwohl et al.4 Physical Pr
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176 R. Gradwohl et al.- For each ro
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178 R. Gradwohl et al.c−1worse so
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180 R. Gradwohl et al.prover use a
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182 R. Gradwohl et al.11. Hayes, B.
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184 H. Gruber, M. Holzer, and O. Ru
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186 H. Gruber, M. Holzer, and O. Ru
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188 H. Gruber, M. Holzer, and O. Ru
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190 H. Gruber, M. Holzer, and O. Ru
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192 H. Gruber, M. Holzer, and O. Ru
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194 H. Gruber, M. Holzer, and O. Ru
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196 H. Gruber, M. Holzer, and O. Ru
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The Troubles of Interior Design-A C
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200 M. Holzer and O. Ruepp≥ 1(a)
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202 M. Holzer and O. RueppThe wire
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204 M. Holzer and O. Ruepp5 5 5 5 5
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206 M. Holzer and O. Ruepp5 5 5 5 5
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208 M. Holzer and O. Ruepp5 2 5 2 5
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210 M. Holzer and O. RueppNow we fi
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212 M. Holzer and O. Rueppcan be do
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214 K. Iwama, E. Miyano, and H. Ono
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216 K. Iwama, E. Miyano, and H. Ono
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218 K. Iwama, E. Miyano, and H. Ono
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220 K. Iwama, E. Miyano, and H. Ono
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222 K. Iwama, E. Miyano, and H. Ono
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224 K. Iwama, E. Miyano, and H. Ono
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226 K. Iwama, E. Miyano, and H. Ono
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228 M. Lampis and V. Mitsouis trivi
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230 M. Lampis and V. MitsouDefiniti
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232 M. Lampis and V. MitsouFig. 1.
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234 M. Lampis and V. MitsouTheorem
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236 M. Lampis and V. MitsouThe abov
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238 M. Lampis and V. MitsouCorollar
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Web Marshals Fighting Curly Link Fa
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242 F. Luccio and L. Pagliexchange
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244 F. Luccio and L. PagliTheorem 1
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246 F. Luccio and L. Pagliwhen M m
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248 F. Luccio and L. Pagli7. Gyöng
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250 F.L. Luccionode-decontamination
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252 F.L. LuccioThe Sierpiński grap
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254 F.L. Luccion agents could be fi
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256 F.L. LuccioSub2G’V1’2V4’1
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258 F.L. Luccious now assume all th
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260 F.L. Lucciovisibility capabilit
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On the Complexity of the Traffic Gr
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264 M. Shalom, W. Unger, and S. Zak
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266 M. Shalom, W. Unger, and S. Zak
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268 M. Shalom, W. Unger, and S. Zak
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270 M. Shalom, W. Unger, and S. Zak
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Author IndexAgrawal, Kunal 135Alt,