Yandex

Binary TreesBinary Trees36

  1. 1Preorder Traversal of a Binary Tree using Recursion
  2. 2Preorder Traversal of a Binary Tree using Iteration
  3. 3Postorder Traversal of a Binary Tree Using Recursion
  4. 4Postorder Traversal of a Binary Tree using Iteration
  5. 5Level Order Traversal of a Binary Tree using Recursion
  6. 6Level Order Traversal of a Binary Tree using Iteration
  7. 7Reverse Level Order Traversal of a Binary Tree using Iteration
  8. 8Reverse Level Order Traversal of a Binary Tree using Recursion
  9. 9Find Height of a Binary Tree
  10. 10Find Diameter of a Binary Tree
  11. 11Find Mirror of a Binary Tree - Todo
  12. 12Inorder Traversal of a Binary Tree using Recursion
  13. 13Inorder Traversal of a Binary Tree using Iteration
  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

TriesTries1

Minimum Multiplications
to Reach End Using Graph BFS



Problem Statement

You're given a starting number start, a target number end, and an array of integers arr. In each step, you can multiply start by any number in arr and take the result modulo 100000 (i.e., (start * x) % 100000).

Your goal is to reach end from start using the minimum number of such operations. If it's not possible to reach the end number, return -1.

Examples

Start End Array Output Description
3 30 [2, 5] 2 3 * 2 = 6, then 6 * 5 = 30
7 49 [7] 1 7 * 7 = 49
10 1 [2, 3] -1 Cannot reach 1 from 10 with the given array
1 100000 [99999] 1 1 * 99999 % 100000 = 99999
2 2 [1] 0 Start equals end, no operation needed

Solution

This problem can be modeled as an unweighted graph where each number from 0 to 99999 is a node. An edge exists between u and v if v = (u * x) % 100000 for some x in the array arr.

To find the shortest path (minimum number of multiplications) from start to end, we can use the Breadth-First Search (BFS) algorithm. BFS guarantees that we reach the target node using the minimum number of steps because it explores all nodes level by level.

We maintain a queue for BFS and a visited array of size 100000 to track which numbers we have already seen. For each number dequeued, we try all possible multiplications using elements of arr, compute the result modulo 100000, and enqueue it if it hasn't been visited yet.

If we reach end, we return the number of steps taken. If we exhaust the queue without reaching end, we return -1.

Algorithm Steps

  1. Initialize a queue with a pair (start, 0) representing the starting number and 0 steps taken.
  2. Use a visited array of size 100000 to mark visited nodes.
  3. While the queue is not empty:
    1. Dequeue the current node and steps.
    2. If the node equals end, return the steps.
    3. For each number x in arr:
      1. Compute next = (current * x) % 100000.
      2. If next is not visited, mark it and enqueue (next, steps + 1).
  4. If the loop ends without finding end, return -1.

Code

JavaScript
function minimumMultiplications(start, end, arr) {
  const MOD = 100000;
  const visited = new Array(MOD).fill(false);
  const queue = [[start, 0]];

  visited[start] = true;

  while (queue.length > 0) {
    const [current, steps] = queue.shift();
    if (current === end) return steps;

    for (const num of arr) {
      const next = (current * num) % MOD;
      if (!visited[next]) {
        visited[next] = true;
        queue.push([next, steps + 1]);
      }
    }
  }

  return -1;
}

console.log(minimumMultiplications(3, 30, [2, 5])); // Output: 2
console.log(minimumMultiplications(7, 49, [7]));    // Output: 1
console.log(minimumMultiplications(10, 1, [2, 3])); // Output: -1


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