Algorithm Steps
- Start at the root node of the BST.
- If the tree is empty, return an error or null.
- Iteratively traverse to the left child while it exists.
- When a node with no left child is reached, that node contains the minimum value.
- Return the value of this node.
Find the Minimum Value in a Binary Search Tree - Code Examples Code
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class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
def findMin(root):
if not root:
return None
while root.left:
root = root.left
return root.val
if __name__ == '__main__':
# Construct BST:
# 5
# / \
# 3 7
# / \ / \
# 2 4 6 8
root = TreeNode(5, TreeNode(3, TreeNode(2), TreeNode(4)), TreeNode(7, TreeNode(6), TreeNode(8)))
print(findMin(root))