Descendants and ascendants in binary trees
There are three classical algorithms to visit all the nodes of a binary tree-preorder, inorder and postorder traversal. From this one gets a natural labelling of the n internal nodes of a binary tree by the numbers 1, 2, ..., n, indicating the sequence in which the nodes are visited. For given...
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Discrete Mathematics & Theoretical Computer Science
1997-12-01
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doaj-9d590c6efd7a46ffad378cad98da38ff2020-11-24T22:43:29ZengDiscrete Mathematics & Theoretical Computer ScienceDiscrete Mathematics & Theoretical Computer Science1462-72641365-80501997-12-0111Descendants and ascendants in binary treesAlois PanholzerHelmut ProdingerThere are three classical algorithms to visit all the nodes of a binary tree-preorder, inorder and postorder traversal. From this one gets a natural labelling of the n internal nodes of a binary tree by the numbers 1, 2, ..., n, indicating the sequence in which the nodes are visited. For given n (size of the tree) and j (a number between 1 and n), we consider the statistics number of ascendants of node j and number of descendants of node j. By appropriate trivariate generating functions, we are able to find explicit formulae for the expectation and the variance in all instances. The heavy computations that are necessary are facilitated by MAPLE and Zeilberger's algorithm. A similar problem comes fromlabelling the leaves from left to right by 1, 2, ..., n and considering the statistic number of ascendants (=height) of leaf j. For this, Kirschenhofer [1] has computed the average. With our approach, we are also able to get the variance. In the last section, a table with asymptotic equivalents is provided for the reader's convenience. http://www.dmtcs.org/dmtcs-ojs/index.php/dmtcs/article/view/78 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alois Panholzer Helmut Prodinger |
spellingShingle |
Alois Panholzer Helmut Prodinger Descendants and ascendants in binary trees Discrete Mathematics & Theoretical Computer Science |
author_facet |
Alois Panholzer Helmut Prodinger |
author_sort |
Alois Panholzer |
title |
Descendants and ascendants in binary trees |
title_short |
Descendants and ascendants in binary trees |
title_full |
Descendants and ascendants in binary trees |
title_fullStr |
Descendants and ascendants in binary trees |
title_full_unstemmed |
Descendants and ascendants in binary trees |
title_sort |
descendants and ascendants in binary trees |
publisher |
Discrete Mathematics & Theoretical Computer Science |
series |
Discrete Mathematics & Theoretical Computer Science |
issn |
1462-7264 1365-8050 |
publishDate |
1997-12-01 |
description |
There are three classical algorithms to visit all the nodes of a binary tree-preorder, inorder and postorder traversal. From this one gets a natural labelling of the n internal nodes of a binary tree by the numbers 1, 2, ..., n, indicating the sequence in which the nodes are visited. For given n (size of the tree) and j (a number between 1 and n), we consider the statistics number of ascendants of node j and number of descendants of node j. By appropriate trivariate generating functions, we are able to find explicit formulae for the expectation and the variance in all instances. The heavy computations that are necessary are facilitated by MAPLE and Zeilberger's algorithm. A similar problem comes fromlabelling the leaves from left to right by 1, 2, ..., n and considering the statistic number of ascendants (=height) of leaf j. For this, Kirschenhofer [1] has computed the average. With our approach, we are also able to get the variance. In the last section, a table with asymptotic equivalents is provided for the reader's convenience. |
url |
http://www.dmtcs.org/dmtcs-ojs/index.php/dmtcs/article/view/78 |
work_keys_str_mv |
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