Algorithms

Bubble Sort Algorithm

We will discuss the Bubble Sort Algorithm, pseudo code, Code implementation of bubble sort in C, C++, Java, JavaScript, Python, advantages & disadvantages, and time & space complexity of Bubble sort. 1. What is Bubble Sort Algorithm? Bubble Sort Algorithm is a comparison-based algorithm. Bubble Sort compares each element in the list with the next […]

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Binary Search Algorithm

We will discuss the Binary Search Algorithm, pseudo code, Code implementation of Binary Search Algorithm in C, C++, Java, JavaScript, Python, advantages & disadvantages, and time & space complexity of Binary Search Algorithm. 1. What is Binary Search? Binary Search is the most popular search algorithm. It is efficient and most commonly used to solve problems.

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Linear Search Algorithm

We will discuss the Linear Search Algorithm, pseudo code, Code implementation of Linear Search in C, C++, Java, JavaScript, Python, advantages & disadvantages, and time & space complexity of Linear Search. 1. What is Linear Search? Linear search is a sequential way of finding an element in a given list. Linear search is a special

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Recurrence Relations

We’ll discuss recurrence relations, recurrence, methods for solving recurrence relations – substitution method, recursion tree method, and master method, and its examples. 1. Recurrence Relations Recurrence relations are recursive definitions of mathematical functions or sequences. For example, the recurrence relation defines the famous Fibonacci sequence 1, 1, 2, 3, 5, 8, 13, …: Given a

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Asymptotic Notation

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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Analysis of Algorithms

We’ll discuss the analysis of algorithms, priori analysis, posteriori analysis, algorithm complexity – time complexity and space complexity, algorithm complexity of common operations, 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.

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Introduction to Algorithms

We’ll discuss algorithms, types of algorithms, characteristics and properties of algorithms, why algorithms matter, how to solve a problem, the application of algorithms, and FAQs. 1. What is an Algorithm? An algorithm is a finite set of instructions designed to solve particular problems. They provide a systematic way to solve problems more efficiently. Algorithms are

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