Why is Binary Search log n?
Binary search is a popular algorithm used to search for an element in a sorted list efficiently. In this article we can going to understand why binary search has a time complexity of O(log2 n)....
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Applications, Advantages and Disadvantages of Binary Search
Binary Search is defined as a searching algorithm used in a sorted array by repeatedly dividing the search interval in half. The idea of binary search is to use the information that the array is sorted and reduce the time complexity to O(log N). Binary search is a versatile algorithm with numerous applications in various fields....
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Is there any search faster than Binary Search?
No, there is no search faster than Binary Search. Binary Search is the fastest searching algorithm for sorted data. It takes O(log2N) time to search any element in the sorted search space. In this article, we will discuss about how Binary Search works, it time complexity, comparison with other search algorithms, etc....
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What is Two Way Header Linked List?
Two-Way Header Linked List, also known as a doubly linked list with a header node, is a type of linked list that contains a special node at the beginning called the header node. This node does not contain any data but serves as a permanent head of the list. The rest of the list consists of nodes that each contain data and two links pointing to the previous and next nodes....
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In which case pigeonhole sort is best?When is Pigeonhole Sort the Best Choice?Advantages of Pigeonhole Sort:Limitations of Pigeonhole Sort:
Pigeonhole Sort is a sorting algorithm that is suited for sorting lists of elements where the number of elements and the number of possible key values are approximately the same. It is a non-comparison based algorithm and requires O(n + Range) time, where n is the number of elements in the input array and Range is the number of possible values in the array....
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Which sorts are Recursive?
In the world of sorting algorithms, some are recursive, which means they solve a problem by breaking it down into smaller instances of the same problem. Let’s delve into some of the recursive sorting algorithms....
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How do you know if an array is bitonic?
A bitonic array is an array that consists of a monotonically increasing sequence followed by a monotonically decreasing sequence. In other words, it has a single peak element, after which the elements decrease in value....
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Time and Space complexity of Radix Sort Algorithm
The Radix Sort Algorithm has a time complexity of O(n*d), where n is the number of elements in the input array and d is the number of digits in the largest number. The space complexity of Radix Sort is O(n + k), where n is the number of elements in the input array and k is the range of the input. This algorithm is efficient for sorting integers, especially when the range of values is not significantly larger than the number of elements to be sorted....
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Which is faster between binary search and linear search?
In computer science, search algorithms are used to locate a specific element within a data structure. Two commonly used search algorithms are binary search and linear search. Understanding their relative speeds is crucial for optimizing search operations. Let’s compare the speed of Binary Search and Linear Search to determine which one is faster....
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Is ternary search faster than binary search?
Binary search is a widely used algorithm for searching a sorted array. It works by repeatedly dividing the search space in half until the target element is found. Ternary search is a variation of binary search that divides the search space into three parts instead of two. This article explores the performance comparison between ternary search and binary search....
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Time and Space Complexity of DFS and BFS Algorithm
The time complexity of both Depth-First Search (DFS) and Breadth-First Search (BFS) algorithms is O(V + E), where V is the number of vertices and E is the number of edges in the graph. The space complexity of DFS is O(V), where V represents the number of vertices in the graph, and for BFS, it is O(V), where V represents the number of vertices in the graph....
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Why is it called Binary Search?
The term “Binary” in binary search refers to the use of a binary decision, which means a decision between two options. This term originated from the Binary Search algorithm’s characteristic of halving the search space with each comparison. The binary search algorithm divides the input data into two halves and determines which half the target element is in. This process continues until the target element is found or the search space is empty. The binary nature of this division process gives rise to the name “Binary Search“...
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