Data structure day3
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The document discusses stacks, which are linear data structures that follow LIFO order. The core stack operations are push, pop, peek, and isEmpty, which all have O(1) time complexity. Stacks have many applications, including balancing symbols, converting infix to postfix notation, undo/redo features, and algorithms like tower of Hanoi and tree traversals. Stacks can be implemented using arrays or linked lists.
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Stack
A stack is a Last In, First Out (LIFO) data structure where items added last are removed first. When an item is added to a stack, it is placed on the "top" of the stack, and when an item is removed it is taken from the top. Items are removed from the stack in the reverse order that they were inserted. The two main operations on a stack are PUSH, which adds an item to the top, and POP, which removes and returns the top item.
Algorithm and Data Structure - Queue
This material aims to enable students to:
1) Understanding queue concept
2) Understanding enqueue, dequeue, front, rear operation in a queue
3) Understanding working of queue
4) Knowing of queue application
Algorithm and Data Structure - Stack
This material aims to enable students to:
1) Understanding stack concept
2) Understanding push, pop, peek or top, isEmpty, isFull operation in a stack
3) Understanding working of stack
4) Knowing of stack application
Csa stack
The CPU is the central processing unit of a computer and performs most data processing. It consists of three main parts: the control unit, arithmetic logic unit (ALU), and registers. The control unit directs operations, the ALU performs calculations, and registers temporarily store data. A stack uses a last-in, first-out approach to storing data and is useful for evaluating arithmetic expressions in postfix notation.
Stack converted
The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. New elements are added to one end of the stack and only removed from that end. Main operations on a stack are push, which adds an element to the top, and pop, which removes the top element. The document also covers implementing stacks through methods like push(), pop(), top(), and display(), and provides examples of how each method works.
Difference between stack and queue
Stack and queue are non-primitive data structures that differ in their accessing and adding methods. A stack uses LIFO (last in first out), accessing the last added element first, while a queue uses FIFO (first in first out), accessing the first added element first. A key difference is that a stack has one open end for pushing and popping, while a queue has two open ends for enqueuing and dequeuing. Both data structures are based on real-world equivalents like stacks of CDs and queues for movie tickets.
Algo>Stacks
Stacks are a special type of list where insertions and deletions only occur at one end, called the top. There are two main types - static stacks have a fixed size and are implemented as arrays, while dynamic stacks can grow as needed and are implemented as linked lists. Common stack operations include push to insert at the top, pop to remove from the top, and functions to check if the stack is empty or return the top element. Stacks are useful data structures with LIFO (last in, first out) behavior and have various applications like implementing function call stacks in compilers.
Data Structure (Stack)
Stack is a data structure that only allows elements to be added and removed from one end, called the top. It has components like a top pointer variable, elements that hold data, and a maximum size. Stacks can be implemented as arrays or linked lists. The main operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. These operations work similarly in array and linked list implementations, by incrementing or decrementing the top pointer and adding or removing the top element.
Recommended
Stack
A stack is a Last In, First Out (LIFO) data structure where items added last are removed first. When an item is added to a stack, it is placed on the "top" of the stack, and when an item is removed it is taken from the top. Items are removed from the stack in the reverse order that they were inserted. The two main operations on a stack are PUSH, which adds an item to the top, and POP, which removes and returns the top item.
Algorithm and Data Structure - Queue
This material aims to enable students to:
1) Understanding queue concept
2) Understanding enqueue, dequeue, front, rear operation in a queue
3) Understanding working of queue
4) Knowing of queue application
Algorithm and Data Structure - Stack
This material aims to enable students to:
1) Understanding stack concept
2) Understanding push, pop, peek or top, isEmpty, isFull operation in a stack
3) Understanding working of stack
4) Knowing of stack application
Csa stack
The CPU is the central processing unit of a computer and performs most data processing. It consists of three main parts: the control unit, arithmetic logic unit (ALU), and registers. The control unit directs operations, the ALU performs calculations, and registers temporarily store data. A stack uses a last-in, first-out approach to storing data and is useful for evaluating arithmetic expressions in postfix notation.
Stack converted
The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. New elements are added to one end of the stack and only removed from that end. Main operations on a stack are push, which adds an element to the top, and pop, which removes the top element. The document also covers implementing stacks through methods like push(), pop(), top(), and display(), and provides examples of how each method works.
Difference between stack and queue
Stack and queue are non-primitive data structures that differ in their accessing and adding methods. A stack uses LIFO (last in first out), accessing the last added element first, while a queue uses FIFO (first in first out), accessing the first added element first. A key difference is that a stack has one open end for pushing and popping, while a queue has two open ends for enqueuing and dequeuing. Both data structures are based on real-world equivalents like stacks of CDs and queues for movie tickets.
Algo>Stacks
Stacks are a special type of list where insertions and deletions only occur at one end, called the top. There are two main types - static stacks have a fixed size and are implemented as arrays, while dynamic stacks can grow as needed and are implemented as linked lists. Common stack operations include push to insert at the top, pop to remove from the top, and functions to check if the stack is empty or return the top element. Stacks are useful data structures with LIFO (last in, first out) behavior and have various applications like implementing function call stacks in compilers.
Data Structure (Stack)
Stack is a data structure that only allows elements to be added and removed from one end, called the top. It has components like a top pointer variable, elements that hold data, and a maximum size. Stacks can be implemented as arrays or linked lists. The main operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. These operations work similarly in array and linked list implementations, by incrementing or decrementing the top pointer and adding or removing the top element.
Stack and queue
This document discusses different types of data structures, including linear and non-linear structures. It focuses on linear structures like arrays, stacks, and queues. Stacks follow LIFO principles with push and pop operations. Queues follow FIFO principles with enqueue and dequeue operations. Real-world examples and algorithms for common stack and queue operations are provided.
Stack Data Structure
The document discusses stack data structures. It defines a stack as a linear data structure that follows the LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common stack operations include push to add an element, pop to remove an element, and functions to check if the stack is empty or full. Stacks have many real-world applications like processing function calls and arithmetic expressions.
Data structure week y 5
This document summarizes key concepts about stacks as a data structure. It defines stacks as last-in, first-out (LIFO) structures that support push, pop, and peek operations. Push adds an element to the top of the stack, pop removes and returns the top element, and peek returns the top element without removing it. The document provides code examples demonstrating how to implement stack operations and use stacks to reverse the order of characters in a string.
Stack & Queue
A stack is a Last In First Out (LIFO) data structure that supports push and pop operations. Push adds an element to the top of the stack, while pop removes an element from the top. The Java Stack class models stacks. Stacks have many uses including maintaining browser back-and-forth navigation, reversing words, solving mazes using backtracking, and evaluating mathematical expressions.
Queue
Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
Conceptual View of a Queue
Uses of Queues in Computing
Operations on a Queue
Implementation of a Queue
Applications
Downloadable Resources
Stack Data structure
This document provides an overview of stacks as a data structure. It defines stacks as linear structures that store data in a last-in, first-out manner. Key points covered include common stack operations like push and pop, complexity analysis, examples of where stacks are used, and C++ code for implementing a stack class with methods like push, pop, peek, and isEmpty.
Bfs and dfs
The document discusses Breadth First Search (BFS) and Depth First Search (DFS) graph traversal algorithms. BFS uses a queue data structure and explores neighbor nodes level-wise, starting from a source node. Its time and space complexity is O(V+E) and O(V) respectively. DFS uses a stack and explores nodes by going deeper first until reaching a dead end, then backtracks. Its complexity is O(V+E) for adjacency lists and O(V^2) for adjacency matrices. Both algorithms are used for path finding, cycle detection and other graph applications.
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The document presents a slideshow on Java programming by Rishabh Gupta. It introduces Java, comparing it to C, describes Java's data types and control structures like if/else statements and for loops. It provides examples of Hello World programs and discusses Java's history and features like being object-oriented, portable, and having automatic memory management.
Unit 3 stack
This is course material for computer science and information technology for BSc csit TU, Kathmandu, Nepal.
5.-Stacks.pptx
This document discusses stacks, including what they are, their operations, implementations, and applications. Stacks follow LIFO order and can be implemented using arrays or linked lists. Common stack operations are push, pop, peek, isEmpty, and size. Stacks have various applications, including converting expressions between infix, postfix, and prefix notation.
STACK AND ITS OPERATIONS IN DATA STRUCTURES.pptx
This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where the last item inserted is the first out. Key stack operations like push, pop, peek and isEmpty are described. Examples of stack applications include checking for balanced brackets, converting infix to postfix notation, implementing an undo/redo feature and recursion. The document also provides pseudocode for converting an infix expression to postfix using a stack and describes how a postfix calculator evaluates expressions.
Stacks Data structure.pptx
This document discusses stacks and their use as a data structure. It begins by defining what a stack is, namely a data structure that follows the last-in, first-out (LIFO) principle. Common stack operations like push, pop, and peek are introduced. Examples are given of how stacks are used in applications like undo mechanisms, expression evaluation, and validating parentheses in expressions. The key operations and algorithms for implementing a stack are described, including pseudocode for push, pop, and display functions. Finally, examples are provided of how stacks can be used to reverse strings, validate parentheses, and convert infix expressions to postfix form.
DS-UNIT 3 FINAL.pptx
The document discusses stacks and queues as data structures. It defines a stack as a linear data structure that follows the LIFO principle with insertion and deletion occurring at one end. Key stack operations are described as push, pop, peek, isEmpty and isFull. Queue is defined as a linear structure that follows the FIFO principle with insertion at the rear and deletion at the front. Common queue operations are enqueue, dequeue, peek, isEmpty and isFull. Array and linked list implementations of stacks and queues are also covered.
Stack project
A stack is a linear data structure that follows the last-in, first-out (LIFO) principle. Elements are inserted and removed from one end called the top. The basic operations are push, which inserts an element at the top, and pop, which removes the top element. Stacks have many real-world applications like piles of books and evaluating mathematical expressions. An array can be used to implement a stack by storing elements from index 0 to the top index, and incrementing or decrementing the top index during push and pop operations.
Stack and Queue by M.Gomathi Lecturer
This document discusses stacks and queues as abstract data structures. Stacks follow LIFO (last in first out) order, adding and removing elements from one end. Queues follow FIFO (first in first out) order, adding to one end (rear) and removing from the other (front). The document provides examples of stack and queue applications and implementations using arrays.
Stacks
Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
Stack
A stack is a last-in, first-out (LIFO) data structure that allows insertion and removal of elements from only one end. Elements are pushed onto the stack and popped off the stack in a LIFO order. Basic stack operations include push(), which adds an element to the top of the stack, pop(), which removes an element from the top of the stack, peek(), which returns the top element without removing it, isEmpty(), which checks if the stack is empty, and isFull(), which checks if the stack is full.
Lecture#5 - Stack ADT.pptx
A stack is a linear data structure that follows the LIFO (last-in, first-out) principle for adding and removing items. It allows push and pop operations at one end called the top. Common stack operations include push to add an item to the top, pop to remove the top item, peek to view the top item without removing it, and functions to check if the stack is empty or full. Stacks have applications in expression evaluation, backtracking, recursion, undo/redo operations, and graph searches like depth-first search. Recursive functions work by calling themselves during execution and are useful for implementing stacks.
Stack in Data Structure
The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. A stack has two main operations - push, which adds an element to the top of the stack, and pop, which removes the top element. Some key applications of stacks include implementing undo/redo features, converting infix expressions to postfix notation, and solving recursive backtracking problems. The document also describes how to evaluate expressions in postfix notation using a stack. Elements are pushed onto the stack as they are encountered, and when an operator is reached, elements are popped off to perform the operation before pushing the result back on.
Data structure Stack
This document provides information about stacks as a data structure. It defines a stack as a linear data structure that only allows additions or deletions at one end, following the last-in, first-out (LIFO) principle. The key operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. The document also discusses stack terminology, different types of notations for expressions (infix, prefix, postfix), algorithms for converting between notations using a stack, an example C program for implementing a stack using an array, and summarizes the main characteristics of stacks.
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This document discusses different types of data structures, including linear and non-linear structures. It focuses on linear structures like arrays, stacks, and queues. Stacks follow LIFO principles with push and pop operations. Queues follow FIFO principles with enqueue and dequeue operations. Real-world examples and algorithms for common stack and queue operations are provided.
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The document discusses stack data structures. It defines a stack as a linear data structure that follows the LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common stack operations include push to add an element, pop to remove an element, and functions to check if the stack is empty or full. Stacks have many real-world applications like processing function calls and arithmetic expressions.
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This document summarizes key concepts about stacks as a data structure. It defines stacks as last-in, first-out (LIFO) structures that support push, pop, and peek operations. Push adds an element to the top of the stack, pop removes and returns the top element, and peek returns the top element without removing it. The document provides code examples demonstrating how to implement stack operations and use stacks to reverse the order of characters in a string.
Stack & Queue
A stack is a Last In First Out (LIFO) data structure that supports push and pop operations. Push adds an element to the top of the stack, while pop removes an element from the top. The Java Stack class models stacks. Stacks have many uses including maintaining browser back-and-forth navigation, reversing words, solving mazes using backtracking, and evaluating mathematical expressions.
Queue
Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
Conceptual View of a Queue
Uses of Queues in Computing
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Downloadable Resources
Stack Data structure
This document provides an overview of stacks as a data structure. It defines stacks as linear structures that store data in a last-in, first-out manner. Key points covered include common stack operations like push and pop, complexity analysis, examples of where stacks are used, and C++ code for implementing a stack class with methods like push, pop, peek, and isEmpty.
Bfs and dfs
The document discusses Breadth First Search (BFS) and Depth First Search (DFS) graph traversal algorithms. BFS uses a queue data structure and explores neighbor nodes level-wise, starting from a source node. Its time and space complexity is O(V+E) and O(V) respectively. DFS uses a stack and explores nodes by going deeper first until reaching a dead end, then backtracks. Its complexity is O(V+E) for adjacency lists and O(V^2) for adjacency matrices. Both algorithms are used for path finding, cycle detection and other graph applications.
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The document presents a slideshow on Java programming by Rishabh Gupta. It introduces Java, comparing it to C, describes Java's data types and control structures like if/else statements and for loops. It provides examples of Hello World programs and discusses Java's history and features like being object-oriented, portable, and having automatic memory management.
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Similar to Data structure day3
Unit 3 stack
This is course material for computer science and information technology for BSc csit TU, Kathmandu, Nepal.
5.-Stacks.pptx
This document discusses stacks, including what they are, their operations, implementations, and applications. Stacks follow LIFO order and can be implemented using arrays or linked lists. Common stack operations are push, pop, peek, isEmpty, and size. Stacks have various applications, including converting expressions between infix, postfix, and prefix notation.
STACK AND ITS OPERATIONS IN DATA STRUCTURES.pptx
This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where the last item inserted is the first out. Key stack operations like push, pop, peek and isEmpty are described. Examples of stack applications include checking for balanced brackets, converting infix to postfix notation, implementing an undo/redo feature and recursion. The document also provides pseudocode for converting an infix expression to postfix using a stack and describes how a postfix calculator evaluates expressions.
Stacks Data structure.pptx
This document discusses stacks and their use as a data structure. It begins by defining what a stack is, namely a data structure that follows the last-in, first-out (LIFO) principle. Common stack operations like push, pop, and peek are introduced. Examples are given of how stacks are used in applications like undo mechanisms, expression evaluation, and validating parentheses in expressions. The key operations and algorithms for implementing a stack are described, including pseudocode for push, pop, and display functions. Finally, examples are provided of how stacks can be used to reverse strings, validate parentheses, and convert infix expressions to postfix form.
DS-UNIT 3 FINAL.pptx
The document discusses stacks and queues as data structures. It defines a stack as a linear data structure that follows the LIFO principle with insertion and deletion occurring at one end. Key stack operations are described as push, pop, peek, isEmpty and isFull. Queue is defined as a linear structure that follows the FIFO principle with insertion at the rear and deletion at the front. Common queue operations are enqueue, dequeue, peek, isEmpty and isFull. Array and linked list implementations of stacks and queues are also covered.
Stack project
A stack is a linear data structure that follows the last-in, first-out (LIFO) principle. Elements are inserted and removed from one end called the top. The basic operations are push, which inserts an element at the top, and pop, which removes the top element. Stacks have many real-world applications like piles of books and evaluating mathematical expressions. An array can be used to implement a stack by storing elements from index 0 to the top index, and incrementing or decrementing the top index during push and pop operations.
Stack and Queue by M.Gomathi Lecturer
This document discusses stacks and queues as abstract data structures. Stacks follow LIFO (last in first out) order, adding and removing elements from one end. Queues follow FIFO (first in first out) order, adding to one end (rear) and removing from the other (front). The document provides examples of stack and queue applications and implementations using arrays.
Stacks
Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
Stack
A stack is a last-in, first-out (LIFO) data structure that allows insertion and removal of elements from only one end. Elements are pushed onto the stack and popped off the stack in a LIFO order. Basic stack operations include push(), which adds an element to the top of the stack, pop(), which removes an element from the top of the stack, peek(), which returns the top element without removing it, isEmpty(), which checks if the stack is empty, and isFull(), which checks if the stack is full.
Lecture#5 - Stack ADT.pptx
A stack is a linear data structure that follows the LIFO (last-in, first-out) principle for adding and removing items. It allows push and pop operations at one end called the top. Common stack operations include push to add an item to the top, pop to remove the top item, peek to view the top item without removing it, and functions to check if the stack is empty or full. Stacks have applications in expression evaluation, backtracking, recursion, undo/redo operations, and graph searches like depth-first search. Recursive functions work by calling themselves during execution and are useful for implementing stacks.
Stack in Data Structure
The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. A stack has two main operations - push, which adds an element to the top of the stack, and pop, which removes the top element. Some key applications of stacks include implementing undo/redo features, converting infix expressions to postfix notation, and solving recursive backtracking problems. The document also describes how to evaluate expressions in postfix notation using a stack. Elements are pushed onto the stack as they are encountered, and when an operator is reached, elements are popped off to perform the operation before pushing the result back on.
Data structure Stack
This document provides information about stacks as a data structure. It defines a stack as a linear data structure that only allows additions or deletions at one end, following the last-in, first-out (LIFO) principle. The key operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. The document also discusses stack terminology, different types of notations for expressions (infix, prefix, postfix), algorithms for converting between notations using a stack, an example C program for implementing a stack using an array, and summarizes the main characteristics of stacks.
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Stacks are linear data structures where elements are inserted and removed from the same end, known as the top. Common stack operations include push to add an element, pop to remove the top element, and peek to view the top element without removing it. Stacks are often implemented using arrays or linked lists and have O(1) time complexity for operations. Some applications of stacks include reversing data, converting numbers between bases, expression conversions, and backtracking problems like N-Queens.
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Non primitive data structure can't be operated by machine level instruction directly.
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The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
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Chapter 5-stack.pptx
This document discusses stacks and their implementation and applications. It can be summarized as:
1. Stacks are linear data structures that follow the LIFO (last in, first out) principle, where elements can only be inserted or removed from one end called the top. Common stack operations are push to add and pop to remove elements.
2. Stacks have two main implementations - using arrays or linked lists. Array implementations are faster but have size limits, while linked lists are dynamic. Push and pop operations on both are described.
3. Stacks have many applications including evaluating arithmetic expressions using postfix notation, which avoids the need for parentheses. The document describes converting expressions to postfix and an algorithm to evaluate them
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Stack and its operations, Queue and its operations
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Data structure day7
Binary search trees allow for efficient insertion of new keys. To insert a key:
1. Start searching from the root node and recurse down the tree, comparing the key to each node.
2. Once a leaf node is reached, add the new node as a child, with the node being placed left if less than or right if greater than the value of the leaf node.
Data structure day 6
Binary search trees are a node-based binary tree data structure where:
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Searching a key in a binary search tree involves comparing it to the root node, then recursing left if less than or right if greater than the root's key.
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Queue follows the FIFO (first in, first out) principle where the earliest inserted element is removed first. Stack follows the LIFO (last in, first out) principle where the last inserted element is removed first. Both queue and stack are linear data structures that support insertion and removal of elements from one end only.
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This document discusses data structures and linked lists. It explains that linked lists are linear data structures where elements are linked using pointers rather than being stored contiguously in memory like arrays. Linked lists allow for dynamic sizes and easier insertion/deletion compared to arrays since elements don't need to be reindexed. However, random access is not possible in linked lists as elements must be accessed sequentially. Each linked list node contains a data element and pointer to the next node.
Data structure day 2
The document compares arrays and linked lists. It notes that arrays store elements consecutively in memory with indexes while linked lists store elements non-consecutively by linking each element to the next. While array access is fast, insertion and deletion are slower; linked lists have faster insertion and deletion but slower access. Arrays have fixed sizes while linked lists are dynamic, and arrays require memory allocation at compile time versus runtime for linked lists.
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👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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- 1. DATA STRUCTURE D AY 3 BY : M O H A M M E D E L S D O D Y
- 2. STACK Stack is a linear data structure which follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). Mainly the following three basic operations are performed in the stack: • Push: Adds an item in the stack. If the stack is full, then it is said to be an Overflow condition. • Pop: Removes an item from the stack. The items are popped in the reversed order in which they are pushed. If the stack is empty, then it is said to be an Underflow condition. • Peek or Top: Returns top element of stack. • isEmpty: Returns true if stack is empty, else false.
- 3. STACK
- 4. STACK Time Complexities of operations on stack: push(), pop(), isEmpty() and peek() all take O(1) time. We do not run any loop in any of these operations.
- 5. APPLICATIONS OF STACK: • Balancing of symbols. • Infix to Postfix /Prefix conversion . • Redo-undo features at many places like editors, photoshop. • Forward and backward feature in web browsers. • Used in many algorithms like Tower of Hanoi, tree traversals, stock span problem, histogram problem. • Other applications can be Backtracking, Knight tour problem, rat in a maze, N queen problem and sudoku solver. • In Graph Algorithms like Topological Sorting and Strongly Connected Components.
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