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Top dynamic programming questions to practice:
1. Compute the nth Fibonacci number π§¬.
2. Find the minimum number of coins required to make a specific amount of money πͺ.
3. Maximize the total value in the knapsack given weights and values of items π.
4. Find the length of the longest subsequence present in two given strings π.
5. Determine the length of the longest increasing subsequence βοΈ.
6. Optimize the order of matrix multiplications to minimize the number of scalar multiplications π’.
7. Determine if a set can be partitioned into two subsets such that the sum of elements in both subsets is the same βοΈ.
8. Find the maximum revenue obtainable by cutting up a rod and selling the pieces π.
9. Determine if a string can be segmented into a space-separated sequence of dictionary words π.
10. Find the minimum number of cuts needed to partition a string into palindromes βοΈ.
11. Calculate the minimum number of operations required to convert one string into another π.
12. Find the maximum sum of an increasing subsequence in an array of integers π.
13. Find the path in a grid which minimizes the sum of the numbers along its path πΊοΈ.
14. Count the number of ways to decode a string of digits into letters π.
1. Compute the nth Fibonacci number π§¬.
2. Find the minimum number of coins required to make a specific amount of money πͺ.
3. Maximize the total value in the knapsack given weights and values of items π.
4. Find the length of the longest subsequence present in two given strings π.
5. Determine the length of the longest increasing subsequence βοΈ.
6. Optimize the order of matrix multiplications to minimize the number of scalar multiplications π’.
7. Determine if a set can be partitioned into two subsets such that the sum of elements in both subsets is the same βοΈ.
8. Find the maximum revenue obtainable by cutting up a rod and selling the pieces π.
9. Determine if a string can be segmented into a space-separated sequence of dictionary words π.
10. Find the minimum number of cuts needed to partition a string into palindromes βοΈ.
11. Calculate the minimum number of operations required to convert one string into another π.
12. Find the maximum sum of an increasing subsequence in an array of integers π.
13. Find the path in a grid which minimizes the sum of the numbers along its path πΊοΈ.
14. Count the number of ways to decode a string of digits into letters π.
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π³ Top Binary Tree Questions for DSA Interviews π
Preparing for your next coding interview? Here are some must-try binary tree problems to help you ace that interview! π§ β¨
1. Invert a Binary Tree π
- Challenge: Given the root of a binary tree, invert the tree, and return its root. Think of it as flipping the tree horizontally.
2. Binary Tree Maximum Path Sum π°
- Challenge: Find the maximum path sum. The path must contain at least one node and does not need to go through the root.
3. Lowest Common Ancestor of a Binary Tree π₯
- Challenge: Determine the lowest common ancestor (LCA) of two nodes in the binary tree. LCA is the lowest node in the tree that has both nodes as descendants.
4. Serialize and Deserialize Binary Tree π¦β‘οΈπ²
- Challenge: Design algorithms to serialize a binary tree into a string and deserialize it back to the tree structure.
5. Validate Binary Search Tree βοΈ
- Challenge: Check if a given binary tree is a valid binary search tree (BST).
6. Binary Tree Right Side View π
- Challenge: View the tree from the right side and return the values of the nodes you can see ordered from top to bottom.
7. Diameter of Binary Tree π
- Challenge: Compute the length of the diameter of the tree, which is the longest path between any two nodes in the tree.
8. Balanced Binary Tree βοΈ
- Challenge: Determine if the binary tree is height-balanced. In a balanced tree, the left and right subtrees of every node differ in height by no more than 1.
9. Binary Tree Level Order Traversal π
- Challenge: Return the level order traversal of the nodes' values from left to right, level by level.
10. Construct Binary Tree from Preorder and Inorder Traversal ποΈ
- Challenge: Given preorder and inorder traversal of a tree, construct the binary tree.
Preparing for your next coding interview? Here are some must-try binary tree problems to help you ace that interview! π§ β¨
1. Invert a Binary Tree π
- Challenge: Given the root of a binary tree, invert the tree, and return its root. Think of it as flipping the tree horizontally.
2. Binary Tree Maximum Path Sum π°
- Challenge: Find the maximum path sum. The path must contain at least one node and does not need to go through the root.
3. Lowest Common Ancestor of a Binary Tree π₯
- Challenge: Determine the lowest common ancestor (LCA) of two nodes in the binary tree. LCA is the lowest node in the tree that has both nodes as descendants.
4. Serialize and Deserialize Binary Tree π¦β‘οΈπ²
- Challenge: Design algorithms to serialize a binary tree into a string and deserialize it back to the tree structure.
5. Validate Binary Search Tree βοΈ
- Challenge: Check if a given binary tree is a valid binary search tree (BST).
6. Binary Tree Right Side View π
- Challenge: View the tree from the right side and return the values of the nodes you can see ordered from top to bottom.
7. Diameter of Binary Tree π
- Challenge: Compute the length of the diameter of the tree, which is the longest path between any two nodes in the tree.
8. Balanced Binary Tree βοΈ
- Challenge: Determine if the binary tree is height-balanced. In a balanced tree, the left and right subtrees of every node differ in height by no more than 1.
9. Binary Tree Level Order Traversal π
- Challenge: Return the level order traversal of the nodes' values from left to right, level by level.
10. Construct Binary Tree from Preorder and Inorder Traversal ποΈ
- Challenge: Given preorder and inorder traversal of a tree, construct the binary tree.
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Instahyre
Frontend Developer - Intern (Internship) job at Officebanao - Instahyre
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Top linked list questions to practice:
1. π Reverse a Linked List
2. π Detect a Cycle in a Linked List
3. π€ Find the Merge Point of Two Linked Lists
4. π« Remove N-th Node From End of List
5. π Merge Two Sorted Linked Lists
6. πΌοΈ Check if a Linked List is a Palindrome
7. π¨ Remove Duplicates from a Sorted List
8. π― Find the Middle of a Linked List
9. π Rotate a Linked List
10. π Implement a Doubly Linked List
11. π Implement a Circular Linked List
12. π οΈ Add Two Numbers Represented by Linked Lists
13. π§Ή Remove Linked List Elements
14. π§© Partition List around a value
15. π Reverse Nodes in k-Group
1. π Reverse a Linked List
2. π Detect a Cycle in a Linked List
3. π€ Find the Merge Point of Two Linked Lists
4. π« Remove N-th Node From End of List
5. π Merge Two Sorted Linked Lists
6. πΌοΈ Check if a Linked List is a Palindrome
7. π¨ Remove Duplicates from a Sorted List
8. π― Find the Middle of a Linked List
9. π Rotate a Linked List
10. π Implement a Doubly Linked List
11. π Implement a Circular Linked List
12. π οΈ Add Two Numbers Represented by Linked Lists
13. π§Ή Remove Linked List Elements
14. π§© Partition List around a value
15. π Reverse Nodes in k-Group