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Wakidur Rahaman
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README.md

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# JavaScript Algorithms And Data Structures
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Many developers who are "self-educated", feel that one of the main disadvantages they face compared to college/university educated graduates in computer science is that they don't have knowledge about algorithms, data structures, and the notorious/famous Big-O Notation. Get on the same level as someone with a computer science degree by learning the fundamental building blocks of computer science, which will boost you during real-life problem solving.
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## JavaScript based examples of many algorithms and data structures.
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☝ Note that this repository is meant to be used for learning and researching purposes only.
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*☝ Note that this repository is meant to be used for learning and researching purposes only.
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### Big O Notation
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## Big O Notation
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*Big O notation* is used to classify algorithms according to how their running time or space requirements grow as the input size grows.
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On the chart below it is showing the most common orders of growth of algorithms specified in Big O notation.
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| **Counting sort** | n + r | n + r | n + r | n + r | Yes | r - biggest number in array |
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| **Radix sort** | n * k | n * k | n * k | n + k | Yes | k - length of longest key |
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## Data Structures
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A data structure is a particular way of organizing and storing data in a computer so that it can
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be accessed and modified efficiently. More exactly, a data structure is a collection of data
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values, the relationships among them, and the functions or operations that can be applied to
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the data.
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What you will learn in here.
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