Binary search tree: find: Difference between revisions

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[[Category:Binary_Search_Tree]]
[[Category:Algorithm]]
== General Information ==
== General Information ==


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::then return TREE-SEARCH(left[x], k)
::then return TREE-SEARCH(left[x], k)
:else return TREE-SEARCH(right[x], k)
:else return TREE-SEARCH(right[x], k)
[[Category:Binary_Search_Tree]]

Revision as of 11:22, 26 September 2014

General Information

Algorithmic Problem: Sorted Sequence:find

Type of algorithm: loop

Auxiliary data: A pointer p of type "pointer to binary search tree node of type [math]\displaystyle{ \kappa }[/math]".

Abstract view

Invariant: After [math]\displaystyle{ i\geq 0 }[/math] Iterations.

  1. The pointer p points to a tree node v on height level i (or is void).
  2. The key K is in the range of v.

Variant: i is increased by 1.

Break condition: Either it is [math]\displaystyle{ p = void }[/math] or, otherwise, [math]\displaystyle{ p.key = K }[/math].

Induction basis

Abstract view: Set p:= root.

Implementation: Obvious

Proof: Nothing to show

Induction step

Abstract view: If p points to a node but not with key K, p descends in the appropriate direction, left or right.

Implementation:

  1. If [math]\displaystyle{ p = void }[/math], terminate the algorithm and return false.
  2. Otherwise, if [math]\displaystyle{ p.key = K }[/math], terminate the algorithm and return true.
  3. Otherwise:
    1. If [math]\displaystyle{ K \lt p.key }[/math], set [math]\displaystyle{ p := left }[/math].
    2. If [math]\displaystyle{ K \gt p.key }[/math], set [math]\displaystyle{ p := right }[/math].

Correctnes: Obvious.

Complexity

Statement: Linear in the length of the sequence in the worst case (more precisely, linear in the height of the tree).

Proof: Obvious.

Pseudocode

TREE-SEARCH (x, k)

if x= NIL or k = key[x]
then return x
if k < key[x]
then return TREE-SEARCH(left[x], k)
else return TREE-SEARCH(right[x], k)