1 / 13

Trees

Trees. Definitions Read Weiss, 4.1 – 4.2 Implementation Nodes and Links One Arrays Three Arrays Traversals Preorder, Inorder, Postorder K-ary Trees Converting trees: k-ary ↔ binary. Nodes Edges Root node Interior node Leaf Parent Children. Ancestor / Proper ancestor

betsy
Télécharger la présentation

Trees

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Trees • Definitions • Read Weiss, 4.1 – 4.2 • Implementation • Nodes and Links • One Arrays • Three Arrays • Traversals • Preorder, Inorder, Postorder • K-ary Trees • Converting trees: k-ary↔ binary

  2. Nodes Edges Root node Interior node Leaf Parent Children Ancestor / Proper ancestor Descendant / Proper descendant Level of a node Height of a node / tree Degree of a node / tree Depth of node Path Acyclic graph Definitions

  3. descendants of “a” a root, height=4, depth=level=0 degree=1 proper descendants of “a” j b k c interior node, height=2, depth=level=2 degree=2 g m d l i h f e degree=0 leaf, height=0, depth=level=4 degree of tree = 2 height of tree = 4

  4. Implementing a Tree • Nodes and Links Node { Object value; Node lchild; Node rchild; } // Node A B C ▲ ▲ ▲ D ▲=null link ▲ ▲

  5. Implementing a Tree A: 0 1 2 3 4 5 6 7 8 9 - A B C - - D - - - • One array • A[1] is root • lchild of A[i] is A[2i] • rchild of A[i] is A[2i+1] • “-” means array element • is null / not used • A[0] not used as a node • A[0] may be used to hold • general info (e.g., • number of nodes in tree) A B C ▲ ▲ ▲ D ▲=null link ▲ ▲

  6. A B C ▲ ▲ ▲ D ▲ ▲ Implementing a Tree • Three array ▲=null link root = 4 freelist = 7 null = “/” = -1 0 1 2 3 4 5 6 7 8 9 Object value: D - - - A - B - C - int lchild: / / 3 5 6 1 / 9 0 2 int rchild: / / / / 8 / / / / /

  7. Traversals • Preorder N L R preorder (Node t) if (t == null) return; visit (t.value()); preorder (t.lchild()); preorder (t.rchild()); } // preorder

  8. Traversals • Inorder L N R inorder (Node t) if (t == null) return; inorder (t.lchild()); visit (t.value()); inorder (t.rchild()); } // inorder

  9. Traversals • Postorder L R N postorder (Node t) if (t == null) return; postorder (t.lchild()); postorder (t.rchild()); visit (t.value()); } // postorder

  10. a j b k c g m d l i h f e preorder: a j k m l b c g i h d f e inorder: m k l j a b i g h c f d e postorder: m l k j i h g f e d c b a

  11. K-ary Trees a q c e f b d n m i p g k j degree of tree = 4 degree of nodes f and n = 3 height of tree = 3 depth=level of m = 2

  12. K-ary Tree => Binary Tree a q c e f b d n m i p K-ary Binary root root leftmost child left child right sibling right child g k j

  13. a q c e f a b d q c e f n m i p b d n m i p g k j g k j Traversals K-ary Tree Binary Tree Preorder: Inorder: Postorder: Preorder: Inorder: Postorder:

More Related