{"id":116393,"date":"2026-06-16T13:46:16","date_gmt":"2026-06-16T08:16:16","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=116393"},"modified":"2026-06-16T13:46:19","modified_gmt":"2026-06-16T08:16:19","slug":"applications-of-stack-in-data-structures","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/applications-of-stack-in-data-structures\/","title":{"rendered":"Applications of Stack in Data Structures"},"content":{"rendered":"\n<p>Every time you use Undo (Ctrl+Z), navigate browser history, or execute a recursive function, you are using a stack in action. Its simple Last In, First Out (LIFO) behaviour makes it one of the most powerful and widely used data structures in computer science<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Quick TL;DR<\/strong><\/h2>\n\n\n\n<ul>\n<li>A stack is a linear data structure that follows the Last In, First Out (LIFO) principle.&nbsp;<\/li>\n\n\n\n<li>It is widely used in function calls, expression evaluation, undo-redo operations, browser history, and backtracking algorithms.&nbsp;<\/li>\n\n\n\n<li>Understanding stacks is essential for mastering core computer science concepts.\u00a0<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is a Stack in DSA?<\/strong><\/h2>\n\n\n\n<p>A stack is a linear data structure that operates on the Last In, First Out (LIFO) principle. Think of it like a stack of plates you can only add a plate to the top and remove a plate from the top. You cannot access a plate in the middle without removing everything above it first.<\/p>\n\n\n\n<p>A stack supports four core operations:<\/p>\n\n\n\n<p>\u2022 &nbsp; &nbsp; &nbsp; <strong>Push:<\/strong> Add an element to the top of the stack<\/p>\n\n\n\n<p>\u2022 &nbsp; &nbsp; &nbsp; <strong>Pop:<\/strong> Remove and return the top element<\/p>\n\n\n\n<p>\u2022 &nbsp; &nbsp; &nbsp; <strong>Peek \/ Top:<\/strong> View the top element without removing it<\/p>\n\n\n\n<p>\u2022 &nbsp; &nbsp; &nbsp; <strong>isEmpty:<\/strong> Check whether the stack has any elements<\/p>\n\n\n\n<p>All four operations run in O(1) time constant time regardless of the stack&#8217;s size. This makes the stack exceptionally efficient for the problems it is designed to solve.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong># Stack implementation in Python<\/strong><strong><br><\/strong><strong>stack = []<\/strong><strong><br><\/strong><strong> <\/strong><strong><br><\/strong><strong>stack.append(10) &nbsp; <\/strong><strong># Push 10&nbsp; \u2192 stack: [10]<\/strong><strong><br><\/strong><strong>stack.append(20) &nbsp; <\/strong><strong># Push 20&nbsp; \u2192 stack: [10, 20]<\/strong><strong><br><\/strong><strong><br><\/strong><strong> <\/strong><strong><br><\/strong><strong>print<\/strong><strong>(stack[-1]) &nbsp; <\/strong><strong># Peek &nbsp; &nbsp; \u2192 30<\/strong><strong><br><\/strong><strong>stack.pop()&nbsp; &nbsp; <\/strong><strong><\/strong><strong># Pop&nbsp; <\/strong><strong><\/strong><strong>\u2192 stack: [10, 20]<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Read More: <\/strong><a href=\"https:\/\/www.guvi.in\/blog\/what-is-a-stack\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>What is a Stack in Data Structures?<\/strong><\/a><\/p>\n\n\n\n<p><em>Check out <a href=\"https:\/\/www.guvi.in\/courses\/programming\/dsa-using-python\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=Applications+of+Stack+in+Data+Structures\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>HCL GUVI&#8217;s Data Structures &amp; Algorithms Programme<\/strong><\/a> built for students and working professionals who want to crack top product-based company interviews with structured, hands-on learning.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Applications of Stack in Data Structures<\/strong><\/h2>\n\n\n\n<p>The application of stack covers a surprisingly wide range of both theoretical problems and everyday software features. Here are the most important ones, with detailed explanations and code examples for each.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Expression Evaluation and Conversion<\/strong><\/h3>\n\n\n\n<p>One of the most classic applications of a stack is evaluating and converting mathematical expressions. Compilers and calculators use stacks to handle operator precedence and parentheses correctly.<\/p>\n\n\n\n<p>There are three forms of mathematical expressions:<\/p>\n\n\n\n<p>\u2022 &nbsp; &nbsp; &nbsp; <strong>Infix:<\/strong> A + B (operator between operands&nbsp; how humans write it)<\/p>\n\n\n\n<p>\u2022 &nbsp; &nbsp; &nbsp; <strong>Prefix (Polish notation):<\/strong> + A B (operator before operands)<\/p>\n\n\n\n<p>\u2022 &nbsp; <strong>Postfix (Reverse Polish notation):<\/strong> A B + (operator after operands how computers evaluate it)<\/p>\n\n\n\n<p>Computers prefer postfix because it eliminates the need for parentheses and operator precedence rules during evaluation. A stack is used both to convert infix to postfix and to evaluate the postfix expression.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td># Evaluate a postfix expression using a stack<br>def evaluate_postfix(expression):<br>&nbsp; &nbsp; stack = []<br>&nbsp; &nbsp; <strong>for<\/strong> token in expression.split():<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>if<\/strong> token.isdigit():<br>&nbsp; &nbsp; &nbsp; &nbsp; stack.append(int(token)) &nbsp; # push operands<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>else<\/strong>:<br>&nbsp; &nbsp; &nbsp; &nbsp; b = stack.pop()&nbsp; &nbsp; &nbsp; &nbsp; # right operand<br>&nbsp; &nbsp; &nbsp; &nbsp; a = stack.pop()&nbsp; &nbsp; &nbsp; &nbsp; # left operand<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>if<\/strong> token == &#8216;+&#8217;: stack.append(a + b)<br>&nbsp; &nbsp; &nbsp; &nbsp; elif token == &#8216;-&#8216;: stack.append(a &#8211; b)<br>&nbsp; &nbsp; &nbsp; &nbsp; elif token == &#8216;*&#8217;: stack.append(a * b)<br>&nbsp; &nbsp; &nbsp; &nbsp; elif token == &#8216;\/&#8217;: stack.append(a \/\/ b)<br>&nbsp; &nbsp; <strong>return<\/strong> stack[0]<br><br><strong>print<\/strong>(evaluate_postfix(&#8216;5 1 2 + 4 * + 3 -&#8216;))&nbsp; # Output: 14<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Function Call Stack and Recursion Management<\/strong><\/h3>\n\n\n\n<p>Whenever a function is called, a stack frame containing local variables, parameters, and the return address is pushed onto the call stack. When the function completes, the frame is popped, and execution returns to the previous point. This stack-based mechanism enables recursion and explains why excessive recursion can lead to a stack overflow error.&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td># Recursive factorial &#8212; each call adds a frame to the call stack<br>def factorial(n):<br>&nbsp; &nbsp; <strong>if<\/strong> n == 0: &nbsp; &nbsp; &nbsp; &nbsp; # Base case &#8212; start popping frames<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>return<\/strong> 1<br>&nbsp; &nbsp; <strong>return<\/strong> n * factorial(n &#8211; 1)<br><br># Call stack when factorial(4) runs:<br># factorial(4) \u2192 factorial(3) \u2192 factorial(2) \u2192 factorial(1) \u2192 factorial(0)<br># Then unwinds: 1 \u2192 1 \u2192 2 \u2192 6 \u2192 24<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 800px;\">\n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1 Did You Know?<\/strong>\n  <p style=\"margin-top: 14px;\">\n    In <strong>Python<\/strong>, the default recursion limit is typically set to around <strong>1,000 function calls<\/strong>, after which a <code>RecursionError<\/code> is raised to prevent stack overflow. Similarly, in <strong>Java<\/strong>, each thread is allocated a fixed-size stack (commonly in the range of <strong>512 KB to 1 MB<\/strong>, depending on the JVM and configuration). These limits exist because the <strong>call stack<\/strong> is stored in a finite memory region and is used to manage function calls, local variables, and execution context. If recursion or deep call chains exceed available stack space, it can lead to stack overflow errors, which is why iterative solutions or optimized recursion techniques are often preferred in performance-critical systems.\n  <\/p>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Undo and Redo Operations<\/strong><\/h3>\n\n\n\n<ul>\n<li>Every action the user performs is pushed onto the undo stack.<\/li>\n\n\n\n<li>When the user presses Ctrl+Z, the top action is popped from the undo stack, reversed, and pushed onto the redo stack.<\/li>\n\n\n\n<li>When the user presses Ctrl+Y, the top action is popped from the redo stack, re-applied, and pushed back onto the undo stack.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>class<\/strong> <strong>TextEditor<\/strong>:<br>&nbsp; &nbsp; <strong>def<\/strong> <strong>__init__<\/strong>(<strong>self<\/strong>):<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>text<\/strong> = &#8221;<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>undo_stack<\/strong> = []<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>redo_stack<\/strong> = []<br><br>&nbsp; &nbsp; <strong>def<\/strong> <strong>type<\/strong>(<strong>self<\/strong>, <strong>chars<\/strong>):<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>undo_stack<\/strong>.<strong>append<\/strong>(<strong>self<\/strong>.<strong>text<\/strong>)&nbsp; # <strong>save<\/strong> <strong>current<\/strong> <strong>state<\/strong><br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>redo_stack<\/strong>.<strong>clear<\/strong>() &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; # <strong>new<\/strong> <strong>action<\/strong> <strong>clears<\/strong> <strong>redo<\/strong><br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>text<\/strong> += <strong>chars<\/strong><br><br>&nbsp; &nbsp; <strong>def<\/strong> <strong>undo<\/strong>(<strong>self<\/strong>):<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>if<\/strong> <strong>self<\/strong>.<strong>undo_stack<\/strong>:<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>redo_stack<\/strong>.<strong>append<\/strong>(<strong>self<\/strong>.<strong>text<\/strong>)<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>text<\/strong> = <strong>self<\/strong>.<strong>undo_stack<\/strong>.<strong>pop<\/strong>()<br><br>&nbsp; &nbsp; <strong>def<\/strong> <strong>redo<\/strong>(<strong>self<\/strong>):<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>if<\/strong> <strong>self<\/strong>.<strong>redo_stack<\/strong>:<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>undo_stack<\/strong>.<strong>append<\/strong>(<strong>self<\/strong>.<strong>text<\/strong>)<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>self<\/strong>.<strong>text<\/strong> = <strong>self<\/strong>.<strong>redo_stack<\/strong>.<strong>pop<\/strong>()<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Read More: <\/strong><a href=\"https:\/\/www.guvi.in\/blog\/applications-of-linked-lists-in-data-structure\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Applications of Linked List Data Structures<\/strong><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Backtracking Algorithms<\/strong><\/h3>\n\n\n\n<p>Backtracking <a href=\"https:\/\/www.guvi.in\/blog\/what-is-an-algorithm\/\" target=\"_blank\" rel=\"noreferrer noopener\">algorithms<\/a> which explore all possible paths and retreat when they hit a dead end, are a fundamental application of a stack. Problems like maze solving, N-Queens, Sudoku solving, and graph <a href=\"https:\/\/www.guvi.in\/blog\/dfs-in-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">DFS<\/a> (Depth First Search) all rely on a stack to remember which choices were made and in what order.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td># Depth First Search using an explicit stack<br>def dfs(graph, start):<br>&nbsp; &nbsp; visited = set()<br>&nbsp; &nbsp; stack = [start]<br><br>&nbsp; &nbsp; <strong>while<\/strong> stack:<br>&nbsp; &nbsp; &nbsp; &nbsp; node = stack.pop() &nbsp; &nbsp; # process most recently added node<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>if<\/strong> node not in visited:<br>&nbsp; &nbsp; &nbsp; &nbsp; visited.add(node)<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>print<\/strong>(node, end=&#8217; &#8216;)<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>for<\/strong> neighbour in graph[node]:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <strong>if<\/strong> neighbour not in visited:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; stack.append(neighbour)<br><br>graph = {&#8216;A&#8217;: [&#8216;B&#8217;, &#8216;C&#8217;], &#8216;B&#8217;: [&#8216;D&#8217;], &#8216;C&#8217;: [&#8216;D&#8217;, &#8216;E&#8217;], &#8216;D&#8217;: [], &#8216;E&#8217;: []}<br>dfs(graph, &#8216;A&#8217;) &nbsp; # Output: A C E D B<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Stock Span and Histogram Problems<\/strong><\/h3>\n\n\n\n<p>In competitive programming and financial applications, a monotonic stack is used to solve problems like the Stock Span Problem, Largest Rectangle in Histogram, and Next Greater Element efficiently, finding relationships between elements without comparing every pair.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td># Next Greater Element using a stack<br>def next_greater(arr):<br>&nbsp; &nbsp; result = [-1] * len(arr)<br>&nbsp; &nbsp; stack = []<br>&nbsp; &nbsp; <strong>for<\/strong> i in range(len(arr)):<br>&nbsp; &nbsp; &nbsp; &nbsp; <strong>while<\/strong> stack <strong>and<\/strong> arr[stack[-1]] &lt; arr[i]:<br>&nbsp; &nbsp; &nbsp; &nbsp; idx = stack.pop()<br>&nbsp; &nbsp; &nbsp; &nbsp; result[idx] = arr[i] &nbsp; # arr[i] is the next greater for arr[idx]<br>&nbsp; &nbsp; &nbsp; &nbsp; stack.append(i)<br>&nbsp; &nbsp; <strong>return<\/strong> result<br><br><strong>print<\/strong>(next_greater([4, 5, 2, 10, 8]))&nbsp; # Output: [5, 10, 10, -1, -1]<br>&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>This O(n) solution using a stack replaces what would otherwise require an O(n\u00b2) nested loop&nbsp; a significant performance improvement for large datasets.<\/p>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 800px;\">\n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1 Did You Know?<\/strong>\n  <p style=\"margin-top: 14px;\">\n    The <strong>monotonic stack<\/strong> is one of the most powerful and widely used patterns in competitive programming for solving range and nearest-greater\/smaller element problems efficiently. It maintains elements in either increasing or decreasing order, allowing problems that would normally require nested loops to be solved in <strong>O(n)<\/strong> time. This technique appears in many classic problems such as <strong>Daily Temperatures<\/strong>, <strong>Trapping Rain Water<\/strong>, and <strong>Largest Rectangle in Histogram<\/strong>, where it helps compute relationships between elements without redundant comparisons. Recognizing when to apply a monotonic stack is a key skill for optimizing solutions in array and stack-based problems.\n  <\/p>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Summary: Applications of Stack at a Glance<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Application<\/strong><\/td><td><strong>How Stack Is Used<\/strong><\/td><td><strong>Real-World Example<\/strong><\/td><\/tr><tr><td><strong>Expression Evaluation<\/strong><\/td><td>Push operands; pop and compute on operator<\/td><td>Scientific calculators, compilers<\/td><\/tr><tr><td><strong>Balanced Parentheses<\/strong><\/td><td>Push opening brackets; pop and match on closing<\/td><td>IDE syntax checkers, JSON validators<\/td><\/tr><tr><td><strong>Function Call Management<\/strong><\/td><td>Push stack frame on call; pop on return<\/td><td>All programming language runtimes<\/td><\/tr><tr><td><strong>Undo \/ Redo<\/strong><\/td><td>Undo stack + redo stack for state history<\/td><td>VS Code, Photoshop, Google Docs<\/td><\/tr><tr><td><strong>Browser History<\/strong><\/td><td>Back stack + forward stack for navigation<\/td><td>Chrome, Firefox, Safari<\/td><\/tr><tr><td><strong>Backtracking \/ DFS<\/strong><\/td><td>Push choices; pop and try next on dead end<\/td><td>Maze solvers, puzzle solvers, graph search<\/td><\/tr><tr><td><strong>Memory Management<\/strong><\/td><td>Stack frames allocated\/freed automatically<\/td><td>OS thread stacks, local variable storage<\/td><\/tr><tr><td><strong>Monotonic Stack Problems<\/strong><\/td><td>Maintain sorted order to find next\/prev greater<\/td><td>Stock span, histogram, rain water trapping<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><em>Want to master stacks, queues, trees, graphs, and dynamic programming with real coding projects and interview prep? Check out <a href=\"https:\/\/www.guvi.in\/courses\/programming\/dsa-using-python\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=Applications+of+Stack+in+Data+Structures\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>HCL GUVI&#8217;s Data Structures &amp; Algorithms Programme<\/strong><\/a> built for students and working professionals who want to crack top product-based company interviews with structured, hands-on learning.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>From evaluating mathematical expressions and managing recursive function calls to powering the undo button in your favourite editor and solving complex graph problems, the application of the stack is everywhere in computer science. What makes the stack so valuable is its simplicity: just two core operations, push and pop, operating in O(1) time combined with the elegance of the LIFO principle, which maps perfectly onto a wide range of real-world problems.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1781492644601\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">1. \u00a0 <strong>What is the application of a stack in data structures?\u00a0<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>The applications of a stack include expression evaluation and conversion, balanced parentheses checking, function calls and recursion, undo-redo operations, browser navigation, backtracking algorithms such as DFS, call stack memory management, and solving monotonic stack problems like Next Greater Element\u00a0<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1781492649484\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">2.\u00a0 \u00a0 <strong>How is a stack used in expression evaluation?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>A stack is used to convert infix expressions to postfix (Reverse Polish Notation) and then evaluate them. Operands are pushed onto the stack; when an operator is encountered, two operands are popped, the operation is performed, and the result is pushed back. This eliminates the need for parentheses during evaluation.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1781492657905\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">3.\u00a0 <strong>What is the call stack and how does it use a stack?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>The call stack is a region of memory managed by the runtime that tracks active function calls. Each time a function is called, a stack frame containing its local variables, parameters, and return address is pushed. When the function returns, its frame is popped and execution resumes at the return address in the previous frame.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1781492668763\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">4.\u00a0 \u00a0 <strong>How does a stack implement undo and redo?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Undo-redo uses two stacks. Every user action is pushed onto the undo stack. Pressing Ctrl+Z pops the latest action from the undo stack, reverses it, and pushes it onto the redo stack. Pressing Ctrl+Y pops from the redo stack, reapplies the action, and pushes it back to the undo stack.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1781492677411\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">5.\u00a0 \u00a0 <strong>What is a monotonic stack and what are its applications?\u00a0<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>A monotonic stack is a stack that maintains its elements in strictly increasing or decreasing order. It is used to solve problems like Next Greater Element, Stock Span, Largest Rectangle in Histogram, and Trapping Rain Water in O(n) time, replacing solutions that would otherwise require O(n\u00b2) nested loops.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Every time you use Undo (Ctrl+Z), navigate browser history, or execute a recursive function, you are using a stack in action. Its simple Last In, First Out (LIFO) behaviour makes it one of the most powerful and widely used data structures in computer science Quick TL;DR What is a Stack in DSA? A stack is [&hellip;]<\/p>\n","protected":false},"author":63,"featured_media":116903,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"views":"43","authorinfo":{"name":"Vishalini Devarajan","url":"https:\/\/www.guvi.in\/blog\/author\/vishalini\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/06\/applications-of-stack-in-data-structures-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/116393"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/63"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=116393"}],"version-history":[{"count":3,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/116393\/revisions"}],"predecessor-version":[{"id":116904,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/116393\/revisions\/116904"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/116903"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=116393"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=116393"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=116393"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}