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Reducing Symmetry in Matrix Models

Reducing Symmetry in Matrix Models. Alan Frisch, Ian Miguel, Toby Walsh (York) Pierre Flener, Brahim Hnich, Zeynep Kiziltan, Justin Pearson (Uppsala). Week 1. Week 2. Week 3. Week 4. Week 5. Week 6. Week 7. Period 1. 0 vs 1. 0 vs 2. 4 vs 7. 3 vs 6. 3 vs 7. 1 vs 5. 2 vs 4.

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Reducing Symmetry in Matrix Models

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  1. Reducing Symmetry in Matrix Models Alan Frisch, Ian Miguel, Toby Walsh (York) Pierre Flener, Brahim Hnich, Zeynep Kiziltan, Justin Pearson (Uppsala)

  2. Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Period 1 0 vs 1 0 vs 2 4 vs 7 3 vs 6 3 vs 7 1 vs 5 2 vs 4 Period 2 2 vs 3 1 vs 7 0 vs 3 5 vs 7 1 vs 4 0 vs 6 5 vs 6 Period 3 4 vs 5 3 vs 5 1 vs 6 0 vs 4 2 vs 6 2 vs 7 0 vs 7 Period 4 6 vs 7 4 vs 6 2 vs 5 1 vs 2 0 vs 5 3 vs 4 1 vs 3 Index Symmetry in Matrix Models • Many CSP Problems can be modelled by a multi-dimensional matrix of decision variables. Round Robin Tournament Schedule

  3. Examples of Index Symmetry • Balanced Incomplete Block Design • Set of Blocks (I) • Set of objects in each block (I) • Rack Configuration • Set of cards (PI) • Set of rack types • Set of occurrences of each rack type (I)

  4. Examples of Index Symmetry • Social Golfers • Set of rounds (I) • Set of groups(I) • Set of golfers(I) • Steel Mill Slab Design • Printing Template Design • Warehouse Location • Progressive Party Problem • …

  5. Transforming Value Symmetry to Index Symmetry • a, b, c, d are indistinguishable values a b c d 1 0 0 0 0 1 a c {b, d} 0 1 0 0 0 1 Now the rows are indistinguishable

  6. Index Symmetry in One Dimension • Indistinguishable Rows • 2 Dimensions • [A B C] lex [D E F] lex [G H I] • N Dimensions • flatten([A B C]) lex flatten([D E F]) lex flatten([G H I])

  7. Index Symmetry in Multiple Dimensions Consistent Consistent Inconsistent Inconsistent

  8. Incompleteness of Double Lex 0 1 0 1 0 1 Swap 2 columns Swap row 1 and 3 1 0 1 0 1 0

  9. Completeness in Special Cases • All variables take distinct values • Push largest value to a particular corner • 2 distinct values, one of which has at most one occurrence in each row or column.

  10. Enforcing Lexicographic Ordering • Not transitive GAC(V1lexV2) and GAC(V2lexV3) does not imply GAC(V1lexV3) • Not pair-wise decomposable does not imply GAC(V1lexV2 lex … lex Vn)

  11. Complete Solution for 2x3 Matrices A B C ABCDEF is minimal among the index symmetries D E F • ABCDEF  ACBDFE • ABCDEF  BCAEFD • ABCDEF  BACEDF • ABCDEF  CABFDE • ABCDEF  CBAFED • ABCDEF  DFEACB • ABCDEF  EFDBCA • ABCDEF  EDFBAC • ABCDEF  FDECAB • ABCDEF  FEDCBA • ABCDEF  DEFABC

  12. Simplifying the Inequalities A B C D E F Columns are lex ordered 1. BE  CF 3. AD  BE 1st row  all permutations of 2nd 6. ABC  DFE 8. ABC  EDF 10. ABC  FED 11. ABC  DEF 9. ABC  FDE 7. ABCD EFDB

  13. Illustration A B C D E F 1 3 5 1 3 5 Swap 2 rows Rotate columns left 5 1 3 3 5 1 Both satisfy 7. ABC  EFD Right one satisfies 7. ABCD EFDB(1353 5133) Left one violates 7. ABCD EFDB(1355 1353)

  14. Symmetry-Breaking Predicates for Search Problems [J. Crawford, M. Ginsberg, E. Luks, A. Roy, KR ~97].

  15. Conclusion • Many problems have models using a mult-dimensional matrix of decision variables in which there is index symmetry. • Constraint toolkits should provide facilities to support this • We have laid some foundations towards developing such facilities. • Open problems remain.

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