Algorithms
  • Introduction
  • Algorithms
    • Insertion Sort
    • Shell Sort
    • Selection Sort
    • Heap Sort
    • Merge Sort
    • Quick Sort
    • Dual Pivot QuickSort
    • Radix Exchange Sort
  • Data Structures
    • Basic Datastructures
      • Table or Array
      • List
      • Linked List
      • Stack
      • Queue
      • Deque
      • Dictionary
      • HashTables
    • Trees
      • Tree
      • Binary Search Tree
      • Heap
      • Red-Black Trees
      • Splay Trees
      • Randomized Search Trees
    • Dynamic Programming
      • Fibonacci
      • Knapsack
      • Optimal Binary Search Trees
      • Longest Common Sub sequence
    • External Data Structures
      • B-Trees
      • Variants
    • Multi-dimensional Data Structures
      • Point-Region Quadtree
      • Point-Quadtrees
    • Priority Queues
      • Binomial Queues
  • Graphs
    • Basics
    • Depth First Search
    • Applications of Depth First Search
    • Breadth First Search
    • Shortest Paths
    • Transitive Closure
    • Flow Networks
    • Matching
  • Strings
    • Data Structures for Strings
      • Tries
        • Binary Tries
        • Multiway Trie
        • Patricia Tries
      • Variable Length-code
        • Elias Code
        • Gamma Code
        • Fibonacci Code
      • Huffmancode
      • Ternary Search Tree
    • Searching in Strings
      • Prefix Function
      • Knuth-Morris-Pratt
      • Boyer-Moore
      • Monte-Carlo Algorithms
      • Karp-Rabin
      • Automatons
      • Shift-AND
    • Indexing Text
      • Suffix Trees
      • Suffix Arrays
      • Search Engines & Inverted Files
  • P and NP
    • Introduction
    • SAT and 3-SAT
    • Graph Problems
    • Problems with Collections
    • Networks
    • Data storage
  • Metaheuristics
    • Trajectory Methods
      • Local Search
      • Simulated Annealing
      • Tabu Search
    • Population Based
      • Ant Colony
      • Evolutionary Computation
  • Sources
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  1. Data Structures
  2. Basic Datastructures

Stack

PreviousLinked ListNextQueue

Last updated 6 years ago

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  • Think of it as a stack of plates, cards, ...

  • It has 2 principles

    • LIFO: Last in, First out --> The element that was added last, is processed first

    • FIFO: First in, First out --> The element that was added first, is processed first

  • Done through the operations POP and PUSH

  • Implementation is done through an array, pointer or linked list

    • It adds the elements after each other as soon as they appear

Operations

  • Insert

  • Deletion

  • isEmpty

  • top or peek

https://www.tutorialspoint.com/data\_structures\_algorithms/stack\_algorithm.htm