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Define a stack data structure and provide examples of real-world applications.

Sandra Emily 226 06-Aug-2023

Define a stack data structure and provide examples of real-world applications.

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Updated on 07-Aug-2023
Sandra Emily

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Aryan Kumar

Aryan Kumar

07-Aug-2023

A stack is a linear data structure in which elements are added and removed according to the last-in, first-out (LIFO) principle. This means that the last element added to the stack is the first element to be removed.

Stacks can be implemented using arrays or linked lists. In an array-based stack, the elements are stored in an array and the insertion and removal of elements is done at the end of the array. In a linked list-based stack, the elements are stored in a linked list and the insertion and removal of elements is done at the head of the linked list.

Here are some examples of real-world applications of stacks:

  • Call stack: The call stack is a stack that is used to track the function calls that are currently active in a program. When a function is called, its address is pushed onto the call stack. When the function returns, its address is popped off the call stack.
  • Undo/redo: Stacks can be used to implement undo/redo functionality in text editors and other applications. When a user makes a change to a document, the old version of the document is pushed onto the stack. When the user wants to undo the change, the old version of the document is popped off the stack and the document is restored to its previous state.
  • Parsing: Stacks can be used to parse expressions and other data structures. For example, a stack can be used to parse a mathematical expression by pushing the operands onto the stack and then popping them off the stack to perform the operations.
  • Backtracking: Stacks can be used to implement backtracking algorithms. Backtracking algorithms are used to solve problems that can be broken down into a series of choices. The algorithm starts at the root of the search tree and explores all of the possible paths from the root node. If a path leads to a dead end, the algorithm backtracks to the previous node and explores a different path.
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