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DSA Goprogramming~5 mins

BST Find Minimum Element in DSA Go - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is a Binary Search Tree (BST)?
A Binary Search Tree is a tree data structure where each node has at most two children. The left child's value is less than the parent's value, and the right child's value is greater than the parent's value.
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beginner
In a BST, where is the minimum element located?
The minimum element is located at the leftmost node of the BST because all smaller values are stored to the left.
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beginner
What is the basic approach to find the minimum element in a BST?
Start from the root and keep moving to the left child until you reach a node with no left child. That node contains the minimum value.
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intermediate
Why is finding the minimum element in a BST efficient?
Because you only traverse down the left children, the time complexity is O(h), where h is the height of the tree, which is efficient compared to searching all nodes.
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beginner
What happens if the BST is empty when trying to find the minimum element?
If the BST is empty (root is nil), there is no minimum element, and the function should handle this case gracefully, often by returning nil or an error.
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Where do you find the minimum element in a BST?
AAt the root node
BAt the rightmost node
CAt the leftmost node
DAt any leaf node
What is the time complexity to find the minimum element in a BST?
AO(h)
BO(log n)
CO(n)
DO(1)
What should a function return if the BST is empty when finding the minimum element?
ANil or an error
BThe maximum element
CThe root node
DZero
Which direction do you move to find the minimum element in a BST?
ARight
BLeft
CUp
DDown
If a BST has only one node, what is the minimum element?
AThe right child
BNo minimum element
CThe left child
DThe root node itself
Explain how to find the minimum element in a Binary Search Tree.
Think about the BST property and where smaller values are stored.
You got /4 concepts.
    What should you consider when implementing a function to find the minimum element in a BST?
    Consider edge cases and traversal logic.
    You got /4 concepts.