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“Binary Tree Level Order Traversal II" returns level order tree traversal in a bottom-up manner
“Binary Tree Level Order Traversal II" is an algorithmic problem that involves traversing a binary tree and returning its level order traversal in a bottom-up manner.
The task is to organize the nodes of the tree into levels and store these levels in reverse order from the bottom-up perspective.
The solution typically involves using a breadth-first search (BFS) approach, where you traverse the tree level by level.
Nodes at each level are stored in separate arrays or lists.
Once the traversal is complete, the resulting lists are reversed to obtain the bottom-up level order traversal of the binary tree.
.
Time Complexity = O(n), where 'n' is the number of nodes
Space Complexity = O(n), where 'n' is the number of nodes
.
Subscribe 👉 https://bit.ly/3f9gHGN for more tips and tricks to pass your next technical interview!
.
Subscribe 👉 https://bit.ly/3f9gHGN
Subscribe 👉 https://bit.ly/3f9gHGN
Subscribe 👉 https://bit.ly/3f9gHGN
.
My name is David and I am a software engineer at Meta. My passion is teaching software devs how to pass the grueling technical interviews to help them land their 6-figure dream tech job.
I have received 3 six-figure offers from Google, Meta, and Amazon.
.
.
#programming #coding #softwareengineer #softwaredeveloper #tech #computerscience #programmerlife #codinglife #code #programmer #studentprogrammer #collegestudents #careerintech #developer #coder #java #python #webdeveloper #javascript #webdevelopment #code #technology #apple #engineering #education #students #collegedays #programmingmemes #ファッション #smartphone #コーデ
Видео “Binary Tree Level Order Traversal II" returns level order tree traversal in a bottom-up manner канала Mastering Programming
The task is to organize the nodes of the tree into levels and store these levels in reverse order from the bottom-up perspective.
The solution typically involves using a breadth-first search (BFS) approach, where you traverse the tree level by level.
Nodes at each level are stored in separate arrays or lists.
Once the traversal is complete, the resulting lists are reversed to obtain the bottom-up level order traversal of the binary tree.
.
Time Complexity = O(n), where 'n' is the number of nodes
Space Complexity = O(n), where 'n' is the number of nodes
.
Subscribe 👉 https://bit.ly/3f9gHGN for more tips and tricks to pass your next technical interview!
.
Subscribe 👉 https://bit.ly/3f9gHGN
Subscribe 👉 https://bit.ly/3f9gHGN
Subscribe 👉 https://bit.ly/3f9gHGN
.
My name is David and I am a software engineer at Meta. My passion is teaching software devs how to pass the grueling technical interviews to help them land their 6-figure dream tech job.
I have received 3 six-figure offers from Google, Meta, and Amazon.
.
.
#programming #coding #softwareengineer #softwaredeveloper #tech #computerscience #programmerlife #codinglife #code #programmer #studentprogrammer #collegestudents #careerintech #developer #coder #java #python #webdeveloper #javascript #webdevelopment #code #technology #apple #engineering #education #students #collegedays #programmingmemes #ファッション #smartphone #コーデ
Видео “Binary Tree Level Order Traversal II" returns level order tree traversal in a bottom-up manner канала Mastering Programming
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21 декабря 2023 г. 7:00:26
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