Trees
BST Search
Search a binary search tree for one present and one absent value.
Algorithm
The canonical tree is 4(2(1,3),6(5,7)), so this Ruby DSA
implementation can be compared directly with the rest of the DSA track.
search path
A comparison chooses one subtree at each step, so whole branches are skipped.
Visual walkthrough
Basic Implementation
basic.rb
class Node
attr_accessor :value, :left, :right
def initialize(value, left = nil, right = nil)
@value = value
@left = left
@right = right
end
end
def render(node)
return "_" if node.nil?
return node.value.to_s if node.left.nil? && node.right.nil?
"#{node.value}(#{render(node.left)},#{render(node.right)})"
end
def sample_tree
Node.new(4, Node.new(2, Node.new(1), Node.new(3)), Node.new(6, Node.new(5), Node.new(7)))
end
def search(root, target); node = root; until node.nil?; return true if target == node.value; node = target < node.value ? node.left : node.right; end; false; end
root = sample_tree
puts(search(root, 5) ? '5 found' : '5 not found')
puts(search(root, 8) ? '8 found' : '8 not found')
Complexity
- Time: O(h) per search
- Space: O(1) iterative
Implementation notes
Nodeis a Ruby class with mutablevalue,left, andrightaccessors, matching the insert lesson's object shape.- Empty child links are
nil, and the search loop stops withuntil node.nil?. search(root, target)uses a local cursor,node = root, rather than recursion.- Each loop checks
return true if target == node.valuebefore choosing a child link. - If the target is smaller, the cursor moves to
node.left; otherwise it moves tonode.right. - The trace for
5walks4 -> right,6 -> left, then matches at5. - The trace for missing
8walks4 -> right,6 -> right,7 -> right, then reachesniland returnsfalse. - The checked output formats the two Boolean results as
5 foundand8 not found.