Skip to content

Only Code

Eat Code Sleep – repeat

  • Home
  • Arrays
  • Linked Lists
  • Trees
  • Stacks
  • Queues
  • Heaps
  • Graphs
  • Algorithms
    • Sorting
    • Dynamic Programming
    • Divide and Conquer
    • Backtracking & Recursion
    • Greedy approach
    • Breadth First Search (BFS)
    • Depth First Search (DFS)

Only Code

Eat Code Sleep – repeat

Close menu
  • Home
  • Arrays
  • Linked Lists
  • Trees
  • Stacks
  • Queues
  • Heaps
  • Graphs
  • Algorithms
    • Sorting
    • Dynamic Programming
    • Divide and Conquer
    • Backtracking & Recursion
    • Greedy approach
    • Breadth First Search (BFS)
    • Depth First Search (DFS)

Only Code

Eat Code Sleep – repeat

Search Toggle menu

Tag: Heap

Max of All Subarrays of Size k Using Max Heap in C++

This problem, also referred to as the “sliding window maximum” problem, can be efficiently solved using heaps. We’ve already discussed an O(n) solution.

Arrays, Competitive Programming, Heaps, Interview Questions

How to find k nearest neighbours of a given point from a set of points in a plane?

Let’s given n points in a plane. We’ve to find k nearest neighbours of a given point ‘p’ from the given n points.

Heaps, Mathematics
  • Algorithms
  • Arrays
  • Backtracking & Recursion
  • Breadth First Search (BFS)
  • C/C++
  • Competitive Programming
  • Computer Science
  • Data Science
  • Databases
  • Depth First Search (DFS)
  • Divide and Conquer
  • Dynamic Programming
  • Graphs
  • Greedy approach
  • Hashmaps
  • Heaps
  • Interview Questions
  • Java
  • Linked Lists
  • Machine Coding Questions
  • Machine Learning
  • Mathematics
  • Networking
  • Programming Projects
  • Python
  • Queues
  • Sorting
  • Special Data Structures
  • Stacks
  • Trees
  • Web Development
© 2025 Only Code | Aureolls