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Interview coding problems/challenges



List of all "Interview coding problems/challenges"

  1. Run-length encoding (find/print frequency of letters in a string)
  2. Sort an array of 0's, 1's and 2's in linear time complexity
  3. Checking Anagrams (check whether two string is anagrams or not)
  4. Relative sorting algorithm
  5. Finding subarray with given sum
  6. Find the level in a binary tree with given sum K
  7. Check whether a Binary Tree is BST (Binary Search Tree) or not
  8. 1[0]1 Pattern Count
  9. Capitalize first and last letter of each word in a line
  10. Print vertical sum of a binary tree
  11. Fractional knapsack problem
  12. Print Boundary Sum of a Binary Tree
  13. Reverse a single linked list
  14. Greedy Strategy to solve major algorithm problems
  15. Job sequencing problem
  16. Root to leaf Path Sum
  17. Exit Point in a Matrix
  18. Find length of loop in a linked list

String

  1. Run-length encoding (find/print frequency of letters in a string)
  2. Checking Anagrams (check whether two string is anagrams or not)

Arrays

  1. Sort an array of 0's, 1's and 2's in linear time complexity

Sorting

  1. Sort an array of 0's, 1's and 2's in linear time complexity
  2. Relative sorting algorithm

Coding Algorithms

  1. Run-length encoding (find/print frequency of letters in a string)
  2. Sort an array of 0's, 1's and 2's in linear time complexity
  3. Finding subarray with given sum
  4. 1[0]1 Pattern Count
  5. Capitalize first and last letter of each word in a line
  6. Greedy Strategy to solve major algorithm problems
  7. Job sequencing problem
  8. Exit Point in a Matrix

Data Structure

  1. Find the level in a binary tree with given sum K
  2. Check whether a Binary Tree is BST (Binary Search Tree) or not
  3. Print vertical sum of a binary tree
  4. Print Boundary Sum of a Binary Tree
  5. Reverse a single linked list
  6. Root to leaf Path Sum
  7. Find length of loop in a linked list

Tree

  1. Print All Nodes that don't have Sibling

Greedy Algorithms

  1. Greedy Strategy to solve major algorithm problems
  2. Job sequencing problem
  3. Fractional knapsack problem

Dynamic Programming

  1. 0-1 Knapsack Algorithm

Matrix

  1. Exit Point in a Matrix

Miscellaneous

  1. Toppers of Class




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