Skip to main content
Library homepage
 

Text Color

Text Size

 

Margin Size

 

Font Type

Enable Dyslexic Font
Engineering LibreTexts

Search

  • Filter Results
  • Location
  • Classification
    • Article type
    • Author
    • Set as Cover Page of Book
    • License
    • Show TOC
    • Transcluded
    • OER program or Publisher
    • Autonumber Section Headings
    • License Version
    • Print CSS
  • Include attachments
Searching in
About 3 results
  • https://eng.libretexts.org/Bookshelves/Computer_Science/Programming_and_Computation_Fundamentals/Algorithm_Design_and_Analysis_(Justo)/02%3A_Searching_Binary_Search_Trees_and_Heaps/2.02%3A_Activity_2_-_Binary_Search_Tree
    Tree-Delete(T, z) /* Determine which node to splice out: either z or z’s successor. */ if left[z] = NIL or right[z] = NIL then y ← z else y ← Tree-Successor[z] /* Set x to a non-NIL child of x, or to ...Tree-Delete(T, z) /* Determine which node to splice out: either z or z’s successor. */ if left[z] = NIL or right[z] = NIL then y ← z else y ← Tree-Successor[z] /* Set x to a non-NIL child of x, or to NIL if y has no children. */ if left[y] ≠ NIL then x ← left[y] else x ← right[y] /* y is removed from the tree by manipulating pointers of p[y] and x */ if x ≠ NIL then p[x] ← p[y] if p[y] = NIL then root[T] ← x else if y ← left[p[i]] then left[p[y]] ← x else right[p[y]] ← x /* If z’s successor was…
  • https://eng.libretexts.org/Bookshelves/Computer_Science/Databases_and_Data_Structures/Open_Data_Structures_-_An_Introduction_(Morin)/06%3A_Binary_Trees
    In illustrations, binary trees are usually drawn from the root downward, with the root at the top of the drawing and the left and right children respectively given by left and right positions in the d...In illustrations, binary trees are usually drawn from the root downward, with the root at the top of the drawing and the left and right children respectively given by left and right positions in the drawing (Figure \(\PageIndex{1}\)). Because binary trees are so important, a certain terminology has developed for them: The depth of a node, \(\mathtt{u}\), in a binary tree is the length of the path from \(\mathtt{u}\) to the root of the tree.
  • https://eng.libretexts.org/Bookshelves/Computer_Science/Databases_and_Data_Structures/Data_Structures_(Wikibook)/06%3A_Trees
    A tree is a non-empty set with an element that is designated as the root of the tree while the remaining elements are partitioned into non-empty sets each of which is a subtree of the root. The depth ...A tree is a non-empty set with an element that is designated as the root of the tree while the remaining elements are partitioned into non-empty sets each of which is a subtree of the root. The depth of a node is the length of the path (or the number of edges) from the root to that node. Binary Search: A binary tree where any left child node has a value less than its parent node and any right child node has a value greater than or equal to that of its parent node.

Support Center

How can we help?