v2009.01.01 - Convex Optimization
v2009.01.01 - Convex Optimization v2009.01.01 - Convex Optimization
498 CHAPTER 7. PROXIMITY PROBLEMS . . . . . . ❜ . . ❜ . . ❜ . . ❜ . . ❜ . . ❜ . . ❜ . ❜ ❜ ❜ ❜ ❜ ❜ ❜ ✧ ✧✧✧✧✧✧✧✧✧✧✧✧✧✧ 0 ✟✟✟✟✟✟✟✟✟✟✟ EDM N ❜ ❜ S N ❝ ❝❝❝❝❝❝❝❝❝❝❝ h ❜ ❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤ ❜ ❜ ❜ ❜ ❜ ❜ K = S N . h ∩ R N×N + . ❜ . . . S N ❜ . . ❜ . . ❜ . . ❜ ❜ ❜ ✧ ✧✧✧✧✧✧✧✧✧✧✧✧✧✧ . . . . . . . . . . . . R N×N . . . . . . . . . . . . . . . . . . . . . . . . Figure 128: Pseudo-Venn diagram: The EDM cone belongs to the intersection of the symmetric hollow subspace with the nonnegative orthant; EDM N ⊆ K (797). EDM N cannot exist outside S N h , but R N×N + does. . . . . . . 7.0.1.2 Egregious input error under nonnegativity demand More pertinent to the optimization problems presented herein where C ∆ = EDM N ⊆ K = S N h ∩ R N×N + (1210) then should some particular realization of a proximity problem demand input H be nonnegative, and were we only to zero negative entries of a nonsymmetric nonhollow input H prior to optimization, then the ensuing projection on EDM N would be guaranteed incorrect (out of order). Now comes a surprising fact: Even were we to correctly follow the order-of-projection rule and provide H ∈ K prior to optimization, then the ensuing projection on EDM N will be incorrect whenever input H has negative entries and some proximity problem demands nonnegative input H .
499 H S N h 0 EDM N K = S N h ∩ R N×N + Figure 129: Pseudo-Venn diagram from Figure 128 showing elbow placed in path of projection of H on EDM N ⊂ S N h by an optimization problem demanding nonnegative input matrix H . The first two line segments leading away from H result from correct order-of-projection required to provide nonnegative H prior to optimization. Were H nonnegative, then its projection on S N h would instead belong to K ; making the elbow disappear. (confer Figure 141)
- Page 447 and 448: 6.1. DEFINING EDM CONE 447 6.1 Defi
- Page 449 and 450: 6.2. POLYHEDRAL BOUNDS 449 This con
- Page 451 and 452: 6.3. √ EDM CONE IS NOT CONVEX 451
- Page 453 and 454: 6.4. A GEOMETRY OF COMPLETION 453 (
- Page 455 and 456: 6.4. A GEOMETRY OF COMPLETION 455 (
- Page 457 and 458: 6.4. A GEOMETRY OF COMPLETION 457 F
- Page 459 and 460: 6.5. EDM DEFINITION IN 11 T 459 by
- Page 461 and 462: 6.5. EDM DEFINITION IN 11 T 461 6.5
- Page 463 and 464: 6.5. EDM DEFINITION IN 11 T 463 1 0
- Page 465 and 466: 6.5. EDM DEFINITION IN 11 T 465 6.5
- Page 467 and 468: 6.6. CORRESPONDENCE TO PSD CONE S N
- Page 469 and 470: 6.6. CORRESPONDENCE TO PSD CONE S N
- Page 471 and 472: 6.6. CORRESPONDENCE TO PSD CONE S N
- Page 473 and 474: 6.7. VECTORIZATION & PROJECTION INT
- Page 475 and 476: 6.7. VECTORIZATION & PROJECTION INT
- Page 477 and 478: 6.8. DUAL EDM CONE 477 When the Fin
- Page 479 and 480: 6.8. DUAL EDM CONE 479 Proof. First
- Page 481 and 482: 6.8. DUAL EDM CONE 481 EDM 2 = S 2
- Page 483 and 484: 6.8. DUAL EDM CONE 483 whose veraci
- Page 485 and 486: 6.8. DUAL EDM CONE 485 6.8.1.3.1 Ex
- Page 487 and 488: 6.8. DUAL EDM CONE 487 has dual aff
- Page 489 and 490: 6.8. DUAL EDM CONE 489 6.8.1.7 Scho
- Page 491 and 492: 6.9. THEOREM OF THE ALTERNATIVE 491
- Page 493 and 494: 6.10. POSTSCRIPT 493 When D is an E
- Page 495 and 496: Chapter 7 Proximity problems In sum
- Page 497: 497 project on the subspace, then p
- Page 501 and 502: 501 7.0.3 Problem approach Problems
- Page 503 and 504: 7.1. FIRST PREVALENT PROBLEM: 503 f
- Page 505 and 506: 7.1. FIRST PREVALENT PROBLEM: 505 7
- Page 507 and 508: 7.1. FIRST PREVALENT PROBLEM: 507 d
- Page 509 and 510: 7.1. FIRST PREVALENT PROBLEM: 509 7
- Page 511 and 512: 7.1. FIRST PREVALENT PROBLEM: 511 w
- Page 513 and 514: 7.1. FIRST PREVALENT PROBLEM: 513 T
- Page 515 and 516: 7.2. SECOND PREVALENT PROBLEM: 515
- Page 517 and 518: 7.2. SECOND PREVALENT PROBLEM: 517
- Page 519 and 520: 7.2. SECOND PREVALENT PROBLEM: 519
- Page 521 and 522: 7.2. SECOND PREVALENT PROBLEM: 521
- Page 523 and 524: 7.2. SECOND PREVALENT PROBLEM: 523
- Page 525 and 526: 7.3. THIRD PREVALENT PROBLEM: 525 g
- Page 527 and 528: 7.3. THIRD PREVALENT PROBLEM: 527 w
- Page 529 and 530: 7.3. THIRD PREVALENT PROBLEM: 529 7
- Page 531 and 532: 7.3. THIRD PREVALENT PROBLEM: 531 7
- Page 533 and 534: 7.3. THIRD PREVALENT PROBLEM: 533 O
- Page 535 and 536: 7.4. CONCLUSION 535 The rank constr
- Page 537 and 538: Appendix A Linear algebra A.1 Main-
- Page 539 and 540: A.1. MAIN-DIAGONAL δ OPERATOR, λ
- Page 541 and 542: A.1. MAIN-DIAGONAL δ OPERATOR, λ
- Page 543 and 544: A.2. SEMIDEFINITENESS: DOMAIN OF TE
- Page 545 and 546: A.3. PROPER STATEMENTS 545 (AB) T
- Page 547 and 548: A.3. PROPER STATEMENTS 547 A.3.1 Se
498 CHAPTER 7. PROXIMITY PROBLEMS<br />
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Figure 128: Pseudo-Venn diagram: The EDM cone belongs to the<br />
intersection of the symmetric hollow subspace with the nonnegative orthant;<br />
EDM N ⊆ K (797). EDM N cannot exist outside S N h , but R N×N<br />
+ does.<br />
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7.0.1.2 Egregious input error under nonnegativity demand<br />
More pertinent to the optimization problems presented herein where<br />
C ∆ = EDM N ⊆ K = S N h ∩ R N×N<br />
+ (1210)<br />
then should some particular realization of a proximity problem demand<br />
input H be nonnegative, and were we only to zero negative entries of a<br />
nonsymmetric nonhollow input H prior to optimization, then the ensuing<br />
projection on EDM N would be guaranteed incorrect (out of order).<br />
Now comes a surprising fact: Even were we to correctly follow the<br />
order-of-projection rule and provide H ∈ K prior to optimization, then the<br />
ensuing projection on EDM N will be incorrect whenever input H has negative<br />
entries and some proximity problem demands nonnegative input H .