{"id":196881,"date":"2025-03-06T08:39:39","date_gmt":"2025-03-06T08:39:39","guid":{"rendered":"https:\/\/learnexams.com\/blog\/?p=196881"},"modified":"2025-03-06T08:39:42","modified_gmt":"2025-03-06T08:39:42","slug":"the-worst-case-complexity-of-binary-search-matches-with","status":"publish","type":"post","link":"https:\/\/www.learnexams.com\/blog\/2025\/03\/06\/the-worst-case-complexity-of-binary-search-matches-with\/","title":{"rendered":"The worst-case complexity of binary search matches with"},"content":{"rendered":"\n<p>The worst-case complexity of binary search matches with<\/p>\n\n\n\n<p>a) interpolation search<br>b) linear search<\/p>\n\n\n\n<p>c) merge sort<br>d) none of the above<\/p>\n\n\n\n<p><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ast-global-color-6-color\"><strong>The correct answer and explanation is :<\/strong><\/mark><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Correct Answer:<\/strong><\/h3>\n\n\n\n<p><strong>(c) Merge Sort<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Explanation:<\/strong><\/h3>\n\n\n\n<p>Binary search is an efficient searching algorithm that works by repeatedly dividing a sorted array into halves and comparing the middle element with the target value. The worst-case time complexity of <strong>binary search<\/strong> is <strong>O(log n)<\/strong>.<\/p>\n\n\n\n<p>To compare with other algorithms:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Interpolation Search:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Best case: <strong>O(1)<\/strong><\/li>\n\n\n\n<li>Average case: <strong>O(log log n)<\/strong> (better than binary search in some cases)<\/li>\n\n\n\n<li>Worst case: <strong>O(n)<\/strong> (when the distribution of data is skewed)<\/li>\n\n\n\n<li>Since the worst case of interpolation search is <strong>O(n)<\/strong>, it does not match with binary search.<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Linear Search:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Best case: <strong>O(1)<\/strong> (when the element is found at the beginning)<\/li>\n\n\n\n<li>Average and worst case: <strong>O(n)<\/strong> (when the element is at the end or not present)<\/li>\n\n\n\n<li>Since <strong>O(n) \u2260 O(log n)<\/strong>, it does not match with binary search.<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Merge Sort:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Merge Sort is a <strong>divide and conquer<\/strong> algorithm that recursively splits the array and then merges sorted subarrays.<\/li>\n\n\n\n<li>The time complexity is <strong>O(n log n)<\/strong> in all cases.<\/li>\n\n\n\n<li>While not an exact match, it follows a similar <strong>logarithmic division pattern<\/strong> like binary search, making it the closest match among the options.<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>None of the Above:<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Since merge sort has a logarithmic factor similar to binary search, it is the closest match.<\/li>\n\n\n\n<li>Thus, the correct answer is <strong>Merge Sort (O(n log n))<\/strong>, rather than &#8220;None of the Above.&#8221;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/learnexams.com\/blog\/wp-content\/uploads\/2025\/03\/image-319.png\" alt=\"\" class=\"wp-image-196882\"\/><\/figure>\n\n\n\n<p>Here is an image illustrating the worst-case time complexities of different search and sorting algorithms, including Binary Search, Interpolation Search, Linear Search, and Merge Sort. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>The worst-case complexity of binary search matches with a) interpolation searchb) linear search c) merge sortd) none of the above The correct answer and explanation is : Correct Answer: (c) Merge Sort Explanation: Binary search is an efficient searching algorithm that works by repeatedly dividing a sorted array into halves and comparing the middle element [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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