An On Log N Algorithm for the Maximal Planar Subgraph Problem
An On Log N Algorithm for the Maximal Planar Subgraph Problem
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In our eReader you can find the full English version of the book. Read An On Log N Algorithm for the Maximal Planar Subgraph Problem Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book An On Log N Algorithm for the Maximal Planar Subgraph Problem
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There- fore we maintain a heap [13] based on bw i values of the unprocessed successors of the tree edge e currently being processed. Since the algorithm is recursive, we actually maintain simultane- ously a heap of unprocessed successors for each tree edge along the path to the currently active tree edge. The total size of all such heaps is 0{m). The initialization of all these heaps takes a total of 0{m) time. When the /owj value of some element in a heap increases, we modify the heap accordin...gly. It is important to note that any two edges in active heaps are unrelated; thus deletion of a single attachment can modify the /owj value of only a single such edge. It follows that the total number of modifications to and deletions from heaps is O (m). The time for the heap operations is 0(}ogn) time per operation, for a total of 0(, m\ogn) time. (Since m
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To quickly assess the difficulty of the text, read a short excerpt:
There- fore we maintain a heap [13] based on bw i values of the unprocessed successors of the tree edge e currently being processed. Since the algorithm is recursive, we actually maintain simultane- ously a heap of unprocessed successors for each tree edge along the path to the currently active tree edge. The total size of all such heaps is 0{m). The initialization of all these heaps takes a total of 0{m) time. When the /owj value of some element in a heap increases, we modify the heap accordin...gly. It is important to note that any two edges in active heaps are unrelated; thus deletion of a single attachment can modify the /owj value of only a single such edge. It follows that the total number of modifications to and deletions from heaps is O (m). The time for the heap operations is 0(}ogn) time per operation, for a total of 0(, m\ogn) time. (Since m
What to read after An On Log N Algorithm for the Maximal Planar Subgraph Problem?
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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