13. Inorder Successor & Predecessor ⭐
Predecessor is the largest element in left subtree; Successor is the smallest element in right subtree.
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Reference implementation (Python)
def get_pred_succ(root, key):
pred = succ = None
curr = root
while curr:
if curr.val == key:
if curr.left: pred = get_max(curr.left)
if curr.right: succ = get_min(curr.right)
break
elif key < curr.val:
succ = curr
curr = curr.left
else:
pred = curr
curr = curr.right
return pred, succEmbed this visualization
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<iframe src="/embed/bst-successor-predecessor" width="100%" height="380" style="border:1px solid #e6e8ec;border-radius:14px" loading="lazy" title="3D algorithm visualization by CodeWithMunnaX"></iframe>Frequently asked
What is the time and space complexity of 13. Inorder Successor & Predecessor ⭐?
13. Inorder Successor & Predecessor ⭐ runs in O(h) time and O(1) auxiliary space.
Is the 13. Inorder Successor & Predecessor ⭐ visualizer free?
The core 3D visualizer, Web Audio chimes and step intuition are free. A one-time ₹49 Pro Pass unlocks advanced algorithms, large custom arrays, Battle Arena and reel export.
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13. Inorder Successor & Predecessor ⭐ shows up in interviews at Google, Amazon, Netflix.
How does the 3D visualization of 13. Inorder Successor & Predecessor ⭐ work?
Each array value becomes a 3D pillar whose height maps to its value. Comparisons glow amber, swaps flash red, and settled elements lock green while a floating pointer badge tracks the active index — synchronized line-by-line with the Python code.