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DATTORROCONVEXOPTIMIZATION&EUCLIDEA
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Convex Optimization&Euclidean Dista
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for Jennie Columba♦Antonio♦♦&
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PreludeThe constant demands of my d
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Convex Optimization&Euclidean Dista
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CONVEX OPTIMIZATION & EUCLIDEAN DIS
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List of Figures1 Overview 191 Orion
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LIST OF FIGURES 1559 Quadratic func
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LIST OF FIGURES 17E Projection 5791
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Chapter 1OverviewConvex Optimizatio
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ˇx 4ˇx 3ˇx 2Figure 2: Applicatio
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23Figure 4: This coarsely discretiz
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ases (biorthogonal expansion). We e
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27Figure 7: These bees construct a
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its membership to the EDM cone. The
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31appendicesProvided so as to be mo
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Chapter 2Convex geometryConvexity h
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2.1. CONVEX SET 35Figure 9: A slab
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2.1. CONVEX SET 372.1.6 empty set v
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2.1. CONVEX SET 392.1.7.1 Line inte
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2.1. CONVEX SET 41(a)R 2(b)R 3(c)(d
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- Page 53 and 54: 2.3. HULLS 53Figure 12: Convex hull
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- Page 57 and 58: 2.3. HULLS 57The union of relative
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- Page 83 and 84: 2.7. CONES 830Figure 24: Boundary o
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- Page 87 and 88: 2.7. CONES 87Thus the simplest and
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- Page 91 and 92: 2.8. CONE BOUNDARY 91Proper cone {0
- Page 93: 2.8. CONE BOUNDARY 93the same extre
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- Page 116 and 117: 116 CHAPTER 2. CONVEX GEOMETRY2.9.2
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144 CHAPTER 2. CONVEX GEOMETRY2.13.
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146 CHAPTER 2. CONVEX GEOMETRYfor w
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148 CHAPTER 2. CONVEX GEOMETRYBy al
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150 CHAPTER 2. CONVEX GEOMETRYb −
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152 CHAPTER 2. CONVEX GEOMETRY2.13.
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154 CHAPTER 2. CONVEX GEOMETRYDual
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156 CHAPTER 2. CONVEX GEOMETRY2.13.
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158 CHAPTER 2. CONVEX GEOMETRY2.13.
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160 CHAPTER 2. CONVEX GEOMETRYΓ 4
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162 CHAPTER 2. CONVEX GEOMETRYEigen
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164 CHAPTER 2. CONVEX GEOMETRYunder
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166 CHAPTER 2. CONVEX GEOMETRYWhen
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168 CHAPTER 2. CONVEX GEOMETRYFor e
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170 CHAPTER 2. CONVEX GEOMETRY10.80
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172 CHAPTER 2. CONVEX GEOMETRYx 210
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174 CHAPTER 2. CONVEX GEOMETRYwhile
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176 CHAPTER 2. CONVEX GEOMETRYαα
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178 CHAPTER 2. CONVEX GEOMETRYFrom
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180 CHAPTER 2. CONVEX GEOMETRY2.13.
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182 CHAPTER 2. CONVEX GEOMETRYhavin
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184 CHAPTER 3. GEOMETRY OF CONVEX F
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186 CHAPTER 3. GEOMETRY OF CONVEX F
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188 CHAPTER 3. GEOMETRY OF CONVEX F
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190 CHAPTER 3. GEOMETRY OF CONVEX F
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192 CHAPTER 3. GEOMETRY OF CONVEX F
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194 CHAPTER 3. GEOMETRY OF CONVEX F
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196 CHAPTER 3. GEOMETRY OF CONVEX F
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198 CHAPTER 3. GEOMETRY OF CONVEX F
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200 CHAPTER 3. GEOMETRY OF CONVEX F
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202 CHAPTER 3. GEOMETRY OF CONVEX F
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204 CHAPTER 3. GEOMETRY OF CONVEX F
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206 CHAPTER 3. GEOMETRY OF CONVEX F
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208 CHAPTER 3. GEOMETRY OF CONVEX F
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210 CHAPTER 3. GEOMETRY OF CONVEX F
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212 CHAPTER 3. GEOMETRY OF CONVEX F
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214 CHAPTER 3. GEOMETRY OF CONVEX F
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216 CHAPTER 3. GEOMETRY OF CONVEX F
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218 CHAPTER 3. GEOMETRY OF CONVEX F
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220 CHAPTER 3. GEOMETRY OF CONVEX F
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222 CHAPTER 3. GEOMETRY OF CONVEX F
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224 CHAPTER 3. GEOMETRY OF CONVEX F
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226 CHAPTER 4. SEMIDEFINITE PROGRAM
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228 CHAPTER 4. SEMIDEFINITE PROGRAM
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230 CHAPTER 4. SEMIDEFINITE PROGRAM
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232 CHAPTER 4. SEMIDEFINITE PROGRAM
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234 CHAPTER 4. SEMIDEFINITE PROGRAM
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236 CHAPTER 4. SEMIDEFINITE PROGRAM
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238 CHAPTER 4. SEMIDEFINITE PROGRAM
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240 CHAPTER 4. SEMIDEFINITE PROGRAM
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242 CHAPTER 4. SEMIDEFINITE PROGRAM
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244 CHAPTER 4. SEMIDEFINITE PROGRAM
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246 CHAPTER 4. SEMIDEFINITE PROGRAM
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248 CHAPTER 4. SEMIDEFINITE PROGRAM
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250 CHAPTER 4. SEMIDEFINITE PROGRAM
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252 CHAPTER 4. SEMIDEFINITE PROGRAM
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254 CHAPTER 4. SEMIDEFINITE PROGRAM
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256 CHAPTER 4. SEMIDEFINITE PROGRAM
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258 CHAPTER 4. SEMIDEFINITE PROGRAM
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260 CHAPTER 4. SEMIDEFINITE PROGRAM
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262 CHAPTER 4. SEMIDEFINITE PROGRAM
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264 CHAPTER 4. SEMIDEFINITE PROGRAM
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266 CHAPTER 4. SEMIDEFINITE PROGRAM
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268 CHAPTER 4. SEMIDEFINITE PROGRAM
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270 CHAPTER 4. SEMIDEFINITE PROGRAM
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272 CHAPTER 4. SEMIDEFINITE PROGRAM
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274 CHAPTER 4. SEMIDEFINITE PROGRAM
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276 CHAPTER 4. SEMIDEFINITE PROGRAM
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278 CHAPTER 4. SEMIDEFINITE PROGRAM
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280 CHAPTER 4. SEMIDEFINITE PROGRAM
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282 CHAPTER 4. SEMIDEFINITE PROGRAM
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284 CHAPTER 4. SEMIDEFINITE PROGRAM
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286 CHAPTER 4. SEMIDEFINITE PROGRAM
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288 CHAPTER 4. SEMIDEFINITE PROGRAM
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290 CHAPTER 5. EUCLIDEAN DISTANCE M
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292 CHAPTER 5. EUCLIDEAN DISTANCE M
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294 CHAPTER 5. EUCLIDEAN DISTANCE M
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296 CHAPTER 5. EUCLIDEAN DISTANCE M
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298 CHAPTER 5. EUCLIDEAN DISTANCE M
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300 CHAPTER 5. EUCLIDEAN DISTANCE M
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302 CHAPTER 5. EUCLIDEAN DISTANCE M
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304 CHAPTER 5. EUCLIDEAN DISTANCE M
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306 CHAPTER 5. EUCLIDEAN DISTANCE M
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308 CHAPTER 5. EUCLIDEAN DISTANCE M
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310 CHAPTER 5. EUCLIDEAN DISTANCE M
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312 CHAPTER 5. EUCLIDEAN DISTANCE M
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314 CHAPTER 5. EUCLIDEAN DISTANCE M
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316 CHAPTER 5. EUCLIDEAN DISTANCE M
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318 CHAPTER 5. EUCLIDEAN DISTANCE M
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320 CHAPTER 5. EUCLIDEAN DISTANCE M
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322 CHAPTER 5. EUCLIDEAN DISTANCE M
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324 CHAPTER 5. EUCLIDEAN DISTANCE M
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326 CHAPTER 5. EUCLIDEAN DISTANCE M
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328 CHAPTER 5. EUCLIDEAN DISTANCE M
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330 CHAPTER 5. EUCLIDEAN DISTANCE M
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332 CHAPTER 5. EUCLIDEAN DISTANCE M
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334 CHAPTER 5. EUCLIDEAN DISTANCE M
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336 CHAPTER 5. EUCLIDEAN DISTANCE M
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338 CHAPTER 5. EUCLIDEAN DISTANCE M
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340 CHAPTER 5. EUCLIDEAN DISTANCE M
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342 CHAPTER 5. EUCLIDEAN DISTANCE M
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344 CHAPTER 5. EUCLIDEAN DISTANCE M
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346 CHAPTER 5. EUCLIDEAN DISTANCE M
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348 CHAPTER 5. EUCLIDEAN DISTANCE M
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350 CHAPTER 5. EUCLIDEAN DISTANCE M
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352 CHAPTER 5. EUCLIDEAN DISTANCE M
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354 CHAPTER 5. EUCLIDEAN DISTANCE M
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356 CHAPTER 5. EUCLIDEAN DISTANCE M
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358 CHAPTER 5. EUCLIDEAN DISTANCE M
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360 CHAPTER 5. EUCLIDEAN DISTANCE M
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362 CHAPTER 5. EUCLIDEAN DISTANCE M
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364 CHAPTER 5. EUCLIDEAN DISTANCE M
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366 CHAPTER 5. EUCLIDEAN DISTANCE M
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368 CHAPTER 5. EUCLIDEAN DISTANCE M
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370 CHAPTER 5. EUCLIDEAN DISTANCE M
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372 CHAPTER 5. EUCLIDEAN DISTANCE M
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374 CHAPTER 5. EUCLIDEAN DISTANCE M
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376 CHAPTER 5. EUCLIDEAN DISTANCE M
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378 CHAPTER 5. EUCLIDEAN DISTANCE M
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380 CHAPTER 5. EUCLIDEAN DISTANCE M
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382 CHAPTER 5. EUCLIDEAN DISTANCE M
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384 CHAPTER 5. EUCLIDEAN DISTANCE M
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386 CHAPTER 5. EUCLIDEAN DISTANCE M
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388 CHAPTER 6. EDM CONEa resemblanc
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390 CHAPTER 6. EDM CONEdvec rel∂E
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392 CHAPTER 6. EDM CONE(b)(c)dvec r
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394 CHAPTER 6. EDM CONE(a)2 nearest
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396 CHAPTER 6. EDM CONEthe graph. T
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398 CHAPTER 6. EDM CONEwhere e i
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400 CHAPTER 6. EDM CONE6.5 EDM defi
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402 CHAPTER 6. EDM CONEN(1 T )δ(V
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404 CHAPTER 6. EDM CONE10(a)-110-1V
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406 CHAPTER 6. EDM CONE6.5.3 Faces
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408 CHAPTER 6. EDM CONE6.5.3.2 Smal
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410 CHAPTER 6. EDM CONE6.6.0.0.1 Pr
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412 CHAPTER 6. EDM CONEdvec rel∂E
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414 CHAPTER 6. EDM CONE6.7 Vectoriz
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416 CHAPTER 6. EDM CONEsvec ∂ S 2
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418 CHAPTER 6. EDM CONEIn fact, the
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420 CHAPTER 6. EDM CONEThe ordinary
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422 CHAPTER 6. EDM CONEEDM 2 = S 2
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424 CHAPTER 6. EDM CONEFrom the res
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426 CHAPTER 6. EDM CONE6.8.1.3 Dual
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428 CHAPTER 6. EDM CONED ◦ = δ(D
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430 CHAPTER 6. EDM CONE6.8.1.6 EDM
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432 CHAPTER 6. EDM CONEBecause 〈
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434 CHAPTER 6. EDM CONE0dvec rel∂
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436 CHAPTER 6. EDM CONE
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438 CHAPTER 7. PROXIMITY PROBLEMS7.
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440 CHAPTER 7. PROXIMITY PROBLEMS..
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442 CHAPTER 7. PROXIMITY PROBLEMSTh
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444 CHAPTER 7. PROXIMITY PROBLEMSwh
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446 CHAPTER 7. PROXIMITY PROBLEMSpo
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448 CHAPTER 7. PROXIMITY PROBLEMS7.
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450 CHAPTER 7. PROXIMITY PROBLEMSof
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452 CHAPTER 7. PROXIMITY PROBLEMS7.
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454 CHAPTER 7. PROXIMITY PROBLEMSR
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456 CHAPTER 7. PROXIMITY PROBLEMSwh
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458 CHAPTER 7. PROXIMITY PROBLEMS7.
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460 CHAPTER 7. PROXIMITY PROBLEMSCo
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462 CHAPTER 7. PROXIMITY PROBLEMS7.
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464 CHAPTER 7. PROXIMITY PROBLEMSTo
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466 CHAPTER 7. PROXIMITY PROBLEMSth
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468 CHAPTER 7. PROXIMITY PROBLEMSco
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470 CHAPTER 7. PROXIMITY PROBLEMSto
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472 CHAPTER 7. PROXIMITY PROBLEMS7.
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474 CHAPTER 7. PROXIMITY PROBLEMSdi
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476 CHAPTER 7. PROXIMITY PROBLEMSve
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Appendix ALinear algebraA.1 Main-di
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A.1. MAIN-DIAGONAL δ OPERATOR, λ
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A.2. SEMIDEFINITENESS: DOMAIN OF TE
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A.2. SEMIDEFINITENESS: DOMAIN OF TE
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A.3. PROPER STATEMENTS 487A.3.0.0.1
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A.3. PROPER STATEMENTS 489By simila
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A.3. PROPER STATEMENTS 491Because R
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For A,B ∈ R n×n x T Ax ≥ x T B
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A.3. PROPER STATEMENTS 495A.3.1.0.2
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A.3. PROPER STATEMENTS 497We can de
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A.4. SCHUR COMPLEMENT 499Origin of
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A.4. SCHUR COMPLEMENT 501When A is
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A.5. EIGEN DECOMPOSITION 503A.5.0.1
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A.6. SINGULAR VALUE DECOMPOSITION,
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A.6. SINGULAR VALUE DECOMPOSITION,
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A.6. SINGULAR VALUE DECOMPOSITION,
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A.7. ZEROS 511For diagonalizable ma
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A.7. ZEROS 513A.7.4For X,A∈ S M +
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A.7. ZEROS 515A.7.5.0.1 Proposition
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Appendix BSimple matricesMathematic
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B.1. RANK-ONE MATRIX (DYAD) 519R(v)
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B.1. RANK-ONE MATRIX (DYAD) 521rang
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B.2. DOUBLET 523R([u v ])R(Π)= R([
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B.3. ELEMENTARY MATRIX 525If λ ≠
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B.4. AUXILIARY V -MATRICES 527the n
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B.4. AUXILIARY V -MATRICES 52918. V
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B.5. ORTHOGONAL MATRIX 531B.5 Ortho
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B.5. ORTHOGONAL MATRIX 533B.5.3.0.1
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Appendix CSome analytical optimal r
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C.2. DIAGONAL, TRACE, SINGULAR AND
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C.2. DIAGONAL, TRACE, SINGULAR AND
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C.2. DIAGONAL, TRACE, SINGULAR AND
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C.3. ORTHOGONAL PROCRUSTES PROBLEM
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C.4. TWO-SIDED ORTHOGONAL PROCRUSTE
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C.4. TWO-SIDED ORTHOGONAL PROCRUSTE
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Appendix DMatrix calculusFrom too m
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.1. DIRECTIONAL DERIVATIVE, TAYLOR
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D.2. TABLES OF GRADIENTS AND DERIVA
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D.2. TABLES OF GRADIENTS AND DERIVA
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D.2. TABLES OF GRADIENTS AND DERIVA
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D.2. TABLES OF GRADIENTS AND DERIVA
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Appendix EProjectionFor any A∈ R
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581Equivalent to the corresponding
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E.1. IDEMPOTENT MATRICES 583where R
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E.1. IDEMPOTENT MATRICES 585TxT ⊥
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E.2. I − P , PROJECTION ON ALGEBR
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E.3. SYMMETRIC IDEMPOTENT MATRICES
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E.3. SYMMETRIC IDEMPOTENT MATRICES
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E.3. SYMMETRIC IDEMPOTENT MATRICES
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E.5. PROJECTION EXAMPLES 595E.5.0.0
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E.5. PROJECTION EXAMPLES 597of rela
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E.5. PROJECTION EXAMPLES 599E.5.0.0
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E.6. VECTORIZATION INTERPRETATION,
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E.6. VECTORIZATION INTERPRETATION,
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E.6. VECTORIZATION INTERPRETATION,
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E.6. VECTORIZATION INTERPRETATION,
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E.7. ON VECTORIZED MATRICES OF HIGH
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E.7. ON VECTORIZED MATRICES OF HIGH
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E.9. PROJECTION ON CONVEX SET 613E.
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E.9. PROJECTION ON CONVEX SET 615
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E.9. PROJECTION ON CONVEX SET 617Pr
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E.9. PROJECTION ON CONVEX SET 619E.
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E.9. PROJECTION ON CONVEX SET 621wh
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E.9. PROJECTION ON CONVEX SET 623Un
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E.9. PROJECTION ON CONVEX SET 625E.
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E.10. ALTERNATING PROJECTION 627bC
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E.10. ALTERNATING PROJECTION 6290
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E.10. ALTERNATING PROJECTION 631E.1
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E.10. ALTERNATING PROJECTION 633y 2
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E.10. ALTERNATING PROJECTION 635By
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E.10. ALTERNATING PROJECTION 637Bar
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E.10. ALTERNATING PROJECTION 639bH
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E.10. ALTERNATING PROJECTION 641K
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E.10. ALTERNATING PROJECTION 643Whe
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Appendix FMatlab programsMade by Th
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F.1. ISEDM() 647% is nonnegativeif
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F.1. ISEDM() 649F.1.1Subroutines fo
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F.2. CONIC INDEPENDENCE, CONICI() 6
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F.2. CONIC INDEPENDENCE, CONICI() 6
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F.3. MAP OF THE USA 655% plot origi
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F.3. MAP OF THE USA 657statelat = d
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F.4. RANK REDUCTION SUBROUTINE, RRF
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F.4. RANK REDUCTION SUBROUTINE, RRF
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F.5. STURM’S PROCEDURE 663F.5 Stu
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F.6. CONVEX ITERATION DEMONSTRATION
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F.6. CONVEX ITERATION DEMONSTRATION
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F.7. FAST MAX CUT 669endoldtrace =
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Appendix GNotation and a few defini
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673l.i.w.r.tlinearly independentwit
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675t → 0 +t goes to 0 from above;
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677ψ(Z)DDD T (X)D(X) TD −1 (X)D(
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679R n −or R n×n−S nS n⊥S n
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681dvector of distance-squared ijlo
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683arg supf(x)subject tominminimize
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685> greater thanpositive for α∈
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Bibliography[1] Suliman Al-Homidan
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BIBLIOGRAPHY 689[16] Keith Ball. An
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BIBLIOGRAPHY 691[38] A. W. Bojanczy
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BIBLIOGRAPHY 693[57] Steven Chu. Au
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BIBLIOGRAPHY 695[76] Frank R. Deuts
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BIBLIOGRAPHY 697Advanced mobile net
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BIBLIOGRAPHY 699[114] John Clifford
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BIBLIOGRAPHY 701[135] Bruce Hendric
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BIBLIOGRAPHY 703April 2003.http://w
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BIBLIOGRAPHY 705[178] Adrian S. Lew
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BIBLIOGRAPHY 707[200] Oleg R. Musin
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BIBLIOGRAPHY 709[219] Chris Perkins
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BIBLIOGRAPHY 711[239] Steve Spain.
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BIBLIOGRAPHY 713[263] Michael W. Tr
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BIBLIOGRAPHY 715http://www.princeto
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Index0-norm, 241, 273, 2851-norm, 1
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INDEX 719closure, 37coefficientbino
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INDEX 721polyhedron, 56, 126halfspa
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INDEX 723range, 524ellipsoid, 34, 3
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INDEX 725homogeneity, 297honeycomb,
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INDEX 727auxiliary, 526, 530orthono
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INDEX 729omapusa(), 656on, 678one-d
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INDEX 731alternating, 626, 627conve
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INDEX 733saddle value, 140scaling,
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INDEX 735Bunt-Motzkin, 613Carathéo
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Convex Optimization & Euclidean Dis