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Algorithms for Coding Interviews Full Course | Time Complexity | Binary Search | Sorting Algorithms

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Algorithms are all around us. Common examples include: the recipe for baking a cake, the method we use to solve a long division problem, the process of doing laundry, and the functionality of a search engine are all examples of an algorithm. It's a finite list of instructions used to perform a task. For example, if you were to follow the algorithm to create brownies from a box mix, you would follow the three to five step process written on the back of the box.
Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created independent of underlying languages, i.e. an algorithm can be implemented in more than one programming language.
🔹What is time complexity?
Time complexity of an algorithm signifies the total time required by the program to run till its completion. Time Complexity is most commonly estimated by counting the number of elementary steps performed by an algorithm to finish execution.
🔹What is Searching Algorithm in Data Structure and Algorithms:
Searching algorithms are used to check for an element and retrieve it from the Data Structure. Based on the type of operation, they are generally classified into Sequential search and Interval search.
🔹 Introduction to Sorting Algorithms:
A Sorting Algorithm is used to rearrange a given array or list elements according to a comparison operator on the elements. The comparison operator is used to decide the new order of elements in the respective data structure.
The following topics are covered in this "Algorithms for Coding Interviews" Tutorial:
0:00 - Time Complexity of Algorithms
48:02 - Binary Search Algorithm
5:35:29 - Sorting Algorithms
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