Download e-book for iPad: Algorithm Theory – SWAT 2012: 13th Scandinavian Symposium by Mohammad Ghodsi, Anil Maheshwari, Mostafa Nouri (auth.),

By Mohammad Ghodsi, Anil Maheshwari, Mostafa Nouri (auth.), Fedor V. Fomin, Petteri Kaski (eds.)

ISBN-10: 3642311555

ISBN-13: 9783642311550

This e-book constitutes the refereed court cases of the thirteenth overseas Scandinavian Symposium and Workshops on set of rules conception, SWAT 2012, held in Helsinki, Finland, in July 2012, co-located with the twenty third Annual Symposium on Combinatorial development Matching, CPM 2012. The 34 papers have been rigorously reviewed and chosen from a complete of 127 submissions. The papers current unique learn and canopy a variety of subject matters within the box of layout and research of algorithms and knowledge structures.

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Read Online or Download Algorithm Theory – SWAT 2012: 13th Scandinavian Symposium and Workshops, Helsinki, Finland, July 4-6, 2012. Proceedings PDF

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Extra resources for Algorithm Theory – SWAT 2012: 13th Scandinavian Symposium and Workshops, Helsinki, Finland, July 4-6, 2012. Proceedings

Example text

Springer, Heidelberg (2010) 4. : Exact algorithm for partial curve matching via the Fr´echet distance. In: Proc. ACM-SIAM Symposium on Discrete Algorithms (SODA 2009), pp. 645–654 (2009) 5. : Computing the Fr´echet distance between simple polygons in polynomial time. In: 22nd Symposium on Computational Geometry (SoCG), pp. 80–87 (2006) 6. : Computing the Fr´echet Distance between Folded Polygons. -R. ) WADS 2011. LNCS, vol. 6844, pp. 267–278. Springer, Heidelberg (2011) Partial Matching between Surfaces Using Fr´echet Distance 23 7.

K + 1}. For a square set C ⊆ D, let Ci = C ∩ Di for each i ∈ {1, . . , k + 1}. Then, these square sets C1 , C2 , . . , Ck+1 form a partition of C. A square set T ⊆ D is feasible on D if Top(T ∩ Di ) = T ∩ Di for each i ∈ {1, . . , k + 1}. For a feasible square set T on D and i ∈ {1, . . , k + 1}, we denote by Ti = T ∩ Di , and let C(T ) = {C ⊆ D | Top(Ci ) = Ti for each i ∈ {1, . . , k + 1}}. We say that Ti is safe for T if Δ(C, K(Ti )) ⊂ T for any square set C ∈ C(T ), where K(Ti ) is the stable top square in Ti which is selected as in the proof of Lemma 3.

Therefore, for i ∈ {1, . . , k + 1}, Ti is safe for T if and only if Ti is safe for both Ti−1 and Ti+1 . Thus, it suffices to show that one of Ti and Ti+1 is safe for the other for each i ∈ {1, . . , k}. Then, there exists an index q ∈ {1, . . , k + 1} such that Tq is safe for both Tq−1 and Tq+1 . Let C be a square set in C(T ). For each i ∈ {1, . . , k + 1}, let ux(Ci ) be the x-coordinate of the leftmost point of the area Ri ∩ K(Ti ) ∩ A1 (Ci ) ∪ A2 (Ci ) , while let lx(Ci ) be the x-coordinate of the leftmost point of the area Ri−1 ∩ K(Ti ) ∩ A1 (Ci ) ∪ A2 (Ci ) .

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Algorithm Theory – SWAT 2012: 13th Scandinavian Symposium and Workshops, Helsinki, Finland, July 4-6, 2012. Proceedings by Mohammad Ghodsi, Anil Maheshwari, Mostafa Nouri (auth.), Fedor V. Fomin, Petteri Kaski (eds.)


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