What is Sliding Window Algorithm? Examples?

Generally speaking a sliding window is a sub-list that runs over an underlying collection. I.e., if you have an array like

[a b c d e f g h]

a sliding window of size 3 would run over it like

[a b c]

[b c d]

[c d e]

[d e f]

[e f g]

[f g h]

This is useful if you for instance want to compute a running average, or if you want to create a set of all adjacent pairs etc.

Related Posts:

  1. In a triangulated isometric grid, what triangle is a given point in?
  2. What is a loop invariant?
  3. What is a loop invariant?
  4. What does O(log n) mean exactly?
  5. how to calculate binary search complexity
  6. When is it practical to use Depth-First Search (DFS) vs Breadth-First Search (BFS)? [closed]
  7. What does O(log n) mean exactly?
  8. Quicksort with Python
  9. What is the difference between tree depth and height?
  10. how to implement quick sort algorithm in C++
  11. Python: maximum recursion depth exceeded while calling a Python object
  12. Why is the time complexity of both DFS and BFS O( V + E )
  13. Time complexity of a Priority Queue in C++
  14. What is stability in sorting algorithms and why is it important?
  15. Breadth First Search time complexity analysis
  16. Counting the sum of every nodes’ neighbors’ degrees?
  17. Time Complexity of the Kruskal Algorithm?
  18. Quick Sort Vs Merge Sort
  19. Polynomial time and exponential time
  20. Insertion Sort vs. Selection Sort
  21. Difference and advantages between dijkstra & A star
  22. Best Case for Bubble Sort
  23. How to find the kth smallest element in the union of two sorted arrays?
  24. Big O, how do you calculate/approximate it?
  25. Performing Breadth First Search recursively
  26. Is Quicksort in-place or not?
  27. longest increasing subsequence(O(nlogn))
  28. O(n log n) vs O(n) — practical differences in time complexity
  29. When should I use Kruskal as opposed to Prim (and vice versa)?
  30. Trying to understand max heapify
  31. Shortest possible depth of a leaf in decision tree (comparison sorting algorithm)
  32. Python Weighted Random [duplicate]
  33. What is the meaning of “exclusive” and “inclusive” when describing number ranges?
  34. What’s a good algorithm to generate a maze?
  35. Intuition for perceptron weight update rule
  36. Easy: Solve T(n)=T(n-1)+n by Iteration Method
  37. What is tail call optimization?
  38. PacMan: what kinds of heuristics are mainly used?
  39. Quicksort vs heapsort
  40. Big-oh vs big-theta
  41. Best case time complexity for selection sort
  42. Looking for algorithm finding euler path
  43. Trie complexity and searching
  44. What does this definition of contiguous subsequences mean?
  45. Is log(n!) = Θ(n·log(n))?
  46. Is complexity O(log(n)) equivalent to O(sqrt(n))?
  47. How to find maximum spanning tree?
  48. Exactly how many comparisons does merge sort make?
  49. Algorithm to return all combinations of k elements from n
  50. How to calculate big-theta
  51. What is the time complexity of while loops?
  52. Merge sort time and space complexity
  53. Intuitive explanation for why QuickSort is n log n?
  54. Calculate distance between two latitude-longitude points? (Haversine formula)
  55. Shuffle a deck of cards in Java
  56. How to calculate time complexity of backtracking algorithm?
  57. Median of Medians in Java
  58. What is a loop invariant?
  59. Hash table runtime complexity (insert, search and delete)
  60. Which is better: O(n log n) or O(n^2)
  61. What is O(log* N)?
  62. Quickselect time complexity explained
  63. What is the proper equivalent of “while(true)” in plain C?
  64. Bellman-Ford vs Dijkstra: Under what circumstances is Bellman-Ford better?
  65. Asymptotic Notation – does n (log n) (log n) simplify?
  66. Difference between Big-O and Little-O Notation
  67. What is the big-O of the function (log n)^k
  68. How to calculate an angle from three points?
  69. Why is O(n) better than O( nlog(n) )?
  70. How to solve: T(n) = T(n/2) + T(n/4) + T(n/8) + (n)
  71. Is there an O(n) integer sorting algorithm?
  72. An example of Best Case Scenario for Quick Sort (Need someone to check if my answer is correct)
  73. how to write a recurrence relation for a given piece of code
  74. Why is merge sort worst case run time O (n log n)?
  75. Why is merge sort worst case run time O (n log n)?
  76. What is the time and space complexity of a breadth first and depth first tree traversal?
  77. Create your own MD5 collisions
  78. Image Segmentation using Mean Shift explained
  79. Finding the median of an unsorted array
  80. Difference between Big-Theta and Big O notation in simple language
  81. What is the difference between bucket sort and radix sort?
  82. How are the following functions O(N^3)?
  83. Difference between O(n) and O(log(n)) – which is better and what exactly is O(log(n))?
  84. Finding all possible combinations of numbers to reach a given sum
  85. Are there any real O(n^n) algorithms?
  86. Sorting an array in C?
  87. Is Dijkstra’s algorithm for directed or undirected graphs?
  88. How to determine if a point is in a 2D triangle?
  89. Modular multiplicative inverse function in Python
  90. Minesweeper solving algorithm
  91. About bubble sort vs merge sort
  92. Understanding Time complexity calculation for Dijkstra Algorithm
  93. Python: maximum recursion depth exceeded while calling a Python object
  94. Efficient swapping of elements of an array in Java
  95. Java, Shifting Elements in an Array
  96. hash function for string
  97. When should we use Radix sort?
  98. Big Oh for (n log n)
  99. A tool for calculating the big-O time complexity of Java code? [closed]
  100. How Do I Implement an Insertion Sort Method for A Generic ArrayList?

Leave a Comment