More Efficient Bottom Up Multipattern Matching in Trees
More Efficient Bottom Up Multipattern Matching in Trees
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Of course, any overallocation during preprocessing is not needed for matching and can be shed.
domain/ f(x)=y preimage range / count noi/e- record for/?
ir'{y}i array / is numeric code for x e D Fig. 5. Implementation of 5£_map/: D -^ R 3J. Abstract Algorithm Let F be the set of function symbols appearing in PF. For each fimction /e F, let i4 (/) be its arity. Let r be the set of Hoffmann and O'Donnell match sets. From the above discussion, we know that the following equations hold: (J) Y = {{v..., s]: s e PF \ s is a leaf ] u u /{range e/:/€ F \ A{f)>Q] n>={c, :/(c, c, )€ PF] \i'f = {{m, m r\ 0}]: m € T) 9/= {[[^1, .... Mk], m]:m^ e range |J. |, ... , /w* e range n* ) where m = {/(cj, ... , Ci^) e PF lc, 6 m, / = 1 ^) u {v} Because the preceding equations contain a cyclic dependency in which T depends on both PF and 6, \i depends on F, and 6 depends on \i and PF, it would seem that a costly fixed point iteration is needed to maintain these equations when PF is modified. Fortunately, this can be avoided with careful scheduling.
What to read after More Efficient Bottom Up Multipattern Matching in Trees?
You can find similar books in the "Read Also" column, or choose other free books by Jiazhen Cai to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
Of course, any overallocation during preprocessing is not needed for matching and can be shed.
domain/ f(x)=y preimage range / count noi/e- record for/?
ir'{y}i array / is numeric code for x e D Fig. 5. Implementation of 5£_map/: D -^ R 3J. Abstract Algorithm Let F be the set of function symbols appearing in PF. For each fimction /e F, let i4 (/) be its arity. Let r be the set of Hoffmann and O'Donnell match sets. From the above discussion, we know that the following equations hold: (J) Y = {{v..., s]: s e PF \ s is a leaf ] u u /{range e/:/€ F \ A{f)>Q] n>={c, :/(c, c, )€ PF] \i'f = {{m, m r\ 0}]: m € T) 9/= {[[^1, .... Mk], m]:m^ e range |J. |, ... , /w* e range n* ) where m = {/(cj, ... , Ci^) e PF lc, 6 m, / = 1 ^) u {v} Because the preceding equations contain a cyclic dependency in which T depends on both PF and 6, \i depends on F, and 6 depends on \i and PF, it would seem that a costly fixed point iteration is needed to maintain these equations when PF is modified. Fortunately, this can be avoided with careful scheduling.
What to read after More Efficient Bottom Up Multipattern Matching in Trees?
You can find similar books in the "Read Also" column, or choose other free books by Jiazhen Cai to read onlineMoreLess
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