In this article, we will explore the Difference Between Priori and Posteriori Analysis, and their applications. 1. What is a Priori Analysis? A Priori Analysis, also known as theoretical analysis. It is done before the execution. It is a software and hardware-independent analysis means independent of CPU, OS, and system architecture. This type of analysis […]
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Algorithm
In this article, we’ll explore what the Top K Elements in List mean, how to solve it, and even provide some examples to make it easy to understand. 1. What are Top K Elements in List? The top K elements in a list refer to the K largest or smallest elements in a given list.
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Programming Concept
In this article, we’ll explore monotonic stacks, how they work, and how to implement them in Python. 1. What is a Monotonic Stack? A Stack is a collection of elements that follow the ‘Last In First Out’ (LIFO) principle. It can be easily implemented either through an array or a linked list. A Monotonic Stack is a data
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Programming Concept
In this article, we’ll explore the concept of Fast and Slow Pointers, a fundamental pattern used to solve complex problems. 1. What are Fast and Slow Pointers? Fast and Slow Pointers is a technique used to traverse a linked list or an array by using two pointers that move at different speeds. The Fast Pointer moves two steps at
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Programming Concept
In this article, We will explore the Sliding Window vs Two Pointers Approach, how it works, and which one is best to solve problems. 1. What is the Two Pointers Technique? Two Pointers is a technique used to solve problems. It involves searching, sorting, or iterating through data like arrays or strings. It works using
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Programming Concept
In this article, we will explore the Sliding Window leetcode approach, how it works, and how you can use it to solve problems. 1. What is the Sliding Window Technique? The Sliding Window technique is a problem-solving approach used to find a subset of data within a larger dataset. It involves creating a “window” that
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Programming Concept
In this article, we will explore the Two Pointers approach, how it works, and how you can use it to solve problems. 1. What are Two Pointers? Two Pointers is a technique used to solve problems. It involves traversing or searching through data structures such as arrays, strings, or linked lists. The basic idea behind
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Programming Concept
Here, We discuss prefix sums, how they work, and their applications in Python and algorithms. 1. What is a Prefix Sum? A prefix sum is a simple and powerful tool that helps us to add numbers more quickly and efficiently. A prefix sum is the cumulative sum of all elements of an array from the
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Programming Concept
his article will explore the Merge Sort Algorithm, including its pseudocode, recurrence relation, and practical implementations in C and C++. 1. What is the Merge Sort Algorithm? Merge Sort Algorithm is a divide-and-conquer algorithm. It divides the input array into two subarrays, calls itself for the two sub-arrays, and then merges the two sorted arrays.
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Algorithm
This article will explore the insertion sort, how it works, and Insertion Sort Pseudocode Count Steps comparisons. 1. What is the Insertion Sort Algorithm? Insertion Sort is a simple and efficient comparison sort. It is in-place Sorting. The Insertion Sort inserts each element into its proper position. It chooses one element, inserts it into its position,
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Algorithm
This article explores the process of How To Make a Recursive Binary Search, including pseudocode, explanations, and comparisons with other search methods. 1. What is Binary Search? Binary Search is the most popular search algorithm. It is efficient and most commonly used to solve problems. It relies on a divide-and-conquer strategy to find an element within a
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Algorithm
This article explores the Linear Search Algorithm, how does linear search work, its applications, and its implementation in different languages. 1. What is Linear Search Algorithm? The Linear Search Algorithm is one of the simplest and most intuitive search algorithms. It is a sequential way of finding an element in a given list. Linear search
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Algorithm
Here, This article explores the analysis of algorithms, the design and analysis of algorithms, and asymptotic analysis. 1. What is the Analysis of Algorithms? If a problem has more than one solution, the technique used to decide which solution is best is known as algorithm analysis. Analysis of algorithms refers to the task of determining
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Algorithm
We’ll discuss types of asymptotic notation, types of notation – theta, big-O, omega, small-o, and small omega notation, the growth rate of an algorithm, analysis of loops – calculation of runtime complexity, and growth of function. 1. What is Asymptotic Notation? Asymptotic Notation is used to determine rough estimates of the relative running time of
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Algorithm
We will discuss the Randomized Quick Sort Algorithm, pseudo code, Code implementation of Randomized Quick Sort in C, C++, Java, JavaScript, Python, advantages & disadvantages, and time & space complexity of Randomized Quick Sort. 1. What is Randomized Quick Sort Algorithm? Randomized Quick Sort is a variation of the Quick Sort algorithm where we choose
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Algorithm