Binary TreesBinary Trees36
  1. 1Preorder Traversal of a Binary Tree using Recursion
  2. 2Preorder Traversal of a Binary Tree using Iteration
  3. 3Inorder Traversal of a Binary Tree using Recursion
  4. 4Inorder Traversal of a Binary Tree using Iteration
  5. 5Postorder Traversal of a Binary Tree Using Recursion
  6. 6Postorder Traversal of a Binary Tree using Iteration
  7. 7Level Order Traversal of a Binary Tree using Recursion
  8. 8Level Order Traversal of a Binary Tree using Iteration
  9. 9Reverse Level Order Traversal of a Binary Tree using Iteration
  10. 10Reverse Level Order Traversal of a Binary Tree using Recursion
  11. 11Find Height of a Binary Tree
  12. 12Find Diameter of a Binary Tree
  13. 13Find Mirror of a Binary Tree
  14. 14Left View of a Binary Tree
  15. 15Right View of a Binary Tree
  16. 16Top View of a Binary Tree
  17. 17Bottom View of a Binary Tree
  18. 18Zigzag Traversal of a Binary Tree
  19. 19Check if a Binary Tree is Balanced
  20. 20Diagonal Traversal of a Binary Tree
  21. 21Boundary Traversal of a Binary Tree
  22. 22Construct a Binary Tree from a String with Bracket Representation
  23. 23Convert a Binary Tree into a Doubly Linked List
  24. 24Convert a Binary Tree into a Sum Tree
  25. 25Find Minimum Swaps Required to Convert a Binary Tree into a BST
  26. 26Check if a Binary Tree is a Sum Tree
  27. 27Check if All Leaf Nodes are at the Same Level in a Binary Tree
  28. 28Lowest Common Ancestor (LCA) in a Binary Tree
  29. 29Solve the Tree Isomorphism Problem
  30. 30Check if a Binary Tree Contains Duplicate Subtrees of Size 2 or More
  31. 31Check if Two Binary Trees are Mirror Images
  32. 32Calculate the Sum of Nodes on the Longest Path from Root to Leaf in a Binary Tree
  33. 33Print All Paths in a Binary Tree with a Given Sum
  34. 34Find the Distance Between Two Nodes in a Binary Tree
  35. 35Find the kth Ancestor of a Node in a Binary Tree
  36. 36Find All Duplicate Subtrees in a Binary Tree
GraphsGraphs46
  1. 1Breadth-First Search in Graphs
  2. 2Depth-First Search in Graphs
  3. 3Number of Provinces in an Undirected Graph
  4. 4Connected Components in a Matrix
  5. 5Rotten Oranges Problem - BFS in Matrix
  6. 6Flood Fill Algorithm - Graph Based
  7. 7Detect Cycle in an Undirected Graph using DFS
  8. 8Detect Cycle in an Undirected Graph using BFS
  9. 9Distance of Nearest Cell Having 1 - Grid BFS
  10. 10Surrounded Regions in Matrix using Graph Traversal
  11. 11Number of Enclaves in Grid
  12. 12Word Ladder - Shortest Transformation using Graph
  13. 13Word Ladder II - All Shortest Transformation Sequences
  14. 14Number of Distinct Islands using DFS
  15. 15Check if a Graph is Bipartite using DFS
  16. 16Topological Sort Using DFS
  17. 17Topological Sort using Kahn's Algorithm
  18. 18Cycle Detection in Directed Graph using BFS
  19. 19Course Schedule - Task Ordering with Prerequisites
  20. 20Course Schedule 2 - Task Ordering Using Topological Sort
  21. 21Find Eventual Safe States in a Directed Graph
  22. 22Alien Dictionary Character Order
  23. 23Shortest Path in Undirected Graph with Unit Distance
  24. 24Shortest Path in DAG using Topological Sort
  25. 25Dijkstra's Algorithm Using Set - Shortest Path in Graph
  26. 26Dijkstra’s Algorithm Using Priority Queue
  27. 27Shortest Distance in a Binary Maze using BFS
  28. 28Path With Minimum Effort in Grid using Graphs
  29. 29Cheapest Flights Within K Stops - Graph Problem
  30. 30Number of Ways to Reach Destination in Shortest Time - Graph Problem
  31. 31Minimum Multiplications to Reach End - Graph BFS
  32. 32Bellman-Ford Algorithm for Shortest Paths
  33. 33Floyd Warshall Algorithm for All-Pairs Shortest Path
  34. 34Find the City With the Fewest Reachable Neighbours
  35. 35Minimum Spanning Tree in Graphs
  36. 36Prim's Algorithm for Minimum Spanning Tree
  37. 37Disjoint Set (Union-Find) with Union by Rank and Path Compression
  38. 38Kruskal's Algorithm - Minimum Spanning Tree
  39. 39Minimum Operations to Make Network Connected
  40. 40Most Stones Removed with Same Row or Column
  41. 41Accounts Merge Problem using Disjoint Set Union
  42. 42Number of Islands II - Online Queries using DSU
  43. 43Making a Large Island Using DSU
  44. 44Bridges in Graph using Tarjan's Algorithm
  45. 45Articulation Points in Graphs
  46. 46Strongly Connected Components using Kosaraju's Algorithm

Integer to Roman Number

Problem Statement

Given a positive integer num, your task is to convert it into a Roman numeral as per the classical Roman numeral system.

  • Roman numerals use combinations of letters from the Latin alphabet: I, V, X, L, C, D, and M.
  • There are specific rules for combining symbols to represent numbers, including using subtraction (e.g., IV for 4, IX for 9).

Note: The input number will be a positive integer between 1 and 3999 (inclusive). If the input is outside this range or invalid (like 0 or negative), return an appropriate message or handle it gracefully.

Examples

Input Output Description
1 I Smallest valid Roman numeral
4 IV Special case using subtraction rule
9 IX Another subtraction case
58 LVIII L = 50, V = 5, III = 3 → 50 + 5 + 3
1994 MCMXCIV M = 1000, CM = 900, XC = 90, IV = 4
3999 MMMCMXCIX Largest number representable in standard Roman numerals
0 Invalid input Roman numerals start from 1, so 0 is not valid
-5 Invalid input Negative numbers can't be converted

Solution

Roman numerals are based on combining letters that represent certain values. The key symbols are: I = 1, V = 5, X = 10, L = 50, C = 100, D = 500, and M = 1000.

To convert an integer into Roman numerals, we need to break it down from the highest possible value and work our way down. For example, for the number 58:

  • The highest Roman symbol less than 58 is L = 50
  • Next is V = 5
  • Then III = 3 gives us the remaining 3
  • So, 58 becomes LVIII

Some numbers need subtraction to avoid four repetitions of the same symbol. For instance:

  • 4 is not IIII, but IV (5 - 1)
  • 9 is IX, 40 is XL, 90 is XC, and so on

So, to build the Roman numeral:

  1. We create a list of integer values and their matching Roman symbols, arranged from largest to smallest
  2. We loop through these values, and at each step, we subtract as many times as the value fits into the number
  3. For each subtraction, we append the corresponding Roman symbol to the result

This continues until the number becomes 0. For example:

1994 is broken into: M (1000) + CM (900) + XC (90) + IV (4)MCMXCIV

What if the input is invalid?

If the input is 0, negative, or not a number (like an empty string or null), it cannot be converted to a Roman numeral because Roman numerals only support positive integers from 1 to 3999. In such cases, return a clear message like "Invalid input".

This approach is simple, efficient, and gives the correct result for any input within the valid range.

Algorithm Steps

  1. Create two arrays: one for the integer values and one for corresponding Roman symbols, both sorted in descending order.
  2. Initialize an empty string to hold the result.
  3. Loop over the integer values array:
  4. → While the input number is greater than or equal to the current integer value:
  5. → Subtract that value and append the corresponding Roman symbol to the result.
  6. Repeat until the number becomes 0.
  7. Return the result string.

Code

Python
Java
JavaScript
C
C++
C#
Kotlin
Swift
Go
Php
def int_to_roman(num):
    val = [1000, 900, 500, 400, 100, 90, 50, 40, 10, 9, 5, 4, 1]
    syms = ["M", "CM", "D", "CD", "C", "XC", "L", "XL", "X", "IX", "V", "IV", "I"]
    roman = ""
    for i in range(len(val)):
        while num >= val[i]:
            roman += syms[i]  # Append the matching symbol
            num -= val[i]     # Subtract the value
    return roman

# Example
print(int_to_roman(1994))  # Output: MCMXCIV

Time Complexity

CaseTime ComplexityExplanation
Best CaseO(1)The number of iterations is limited to a small fixed set of Roman numeral values (13 in total).
Average CaseO(1)Regardless of the input size, the logic loops through at most 13 Roman symbols.
Worst CaseO(1)Even for the maximum input (3999), the loop runs a constant number of times.

Space Complexity

O(1)

Explanation: Only a few variables and fixed arrays are used. No additional memory scales with input.