AlgoDS
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Tail RecursionAlgoDS/Algorithm 2020. 4. 8. 12:44
1. Motivation Recursion is a frequently adopted pattern for solving some sort of algorithm problems that need to divide and conquer a big issue and solve the smaller but the same issue first. For example, calculating Fibonacci accumulating sum and calculating factorials. In these kinds of issues, recursion is more straightforward than their loop counterpart. Furthermore, recursion may need less ..
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Selection SortAlgoDS/Algorithm 2020. 1. 22. 17:35
1. Overview The selection sort algorithm sorts an array by repeatedly finding the minimum element (considering ascending order) from the unsorted part and putting it at the beginning. It's one of the Greedy Algorithms. 2. Description 2.1 Procedure The algorithm maintains two subarrays in a given array. In every iteration of selection sort, the minimum element (considering ascending order) from t..
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DivideAndConquerAlgoDS/Algorithm 2020. 1. 22. 12:33
1. Overview Divide and Conquer is an algorithmic design paradigm that works by recursively breaking down a problem into sub-problems of a similar type until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give solution to the original problem. Divide: Break the given problem into subproblems of the same type Conquer: Recursively solve thes..
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Greedy AlgorithmAlgoDS/Algorithm 2020. 1. 22. 12:32
1. Overview Greedy is an algorithmic paradigm that builds up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. So the problems where choosing locally optimal also leads to a global solution is the best fit for Greedy. Greedy Algorithm is an algorithmic paradigm that builds up a solution piece by pice It always chooses the next piece tha..
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Insertion SortAlgoDS/Algorithm 2020. 1. 17. 19:13
1. Overview Insertion sort is a simple sorting algorithm that works the way we sort playing cards in our hands. It's one of the Greedy Algorithms. For nearly sorted data, consider that insertion sort is O(n) time. 2. Description 2.1 Procedure 12, 11, 13, 5, 6 Let us loop for i = 1 (second element of the array) to 4 (last element of the array) i = 1. Since 11 is smaller than 12, move 12 and inser..
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Choosing sorting algorithmAlgoDS/Algorithm 2020. 1. 17. 19:12
1. Overview Compare each sorting algorithms 2. Description 2.1 Merge Sort Split your array in half. Recursively merge sort the left and right sub-arrays. Then, merge them together (linear time) to get the full sorted array. Pros: Has O(nlogn)O(nlogn) worst-case run time. Of the 3 algorithms here, it is the only one that is stable, so if you want to retain the ordering of comparatively equivalen..
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Bubble sortAlgoDS/Algorithm 2020. 1. 17. 17:34
1. Overview Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements if they are in the wrong order. It's one of the Greedy Algorithms. 2. Description 2.1 Procedure Step 1: Starting with the first element(index = 0), compare the current element with the next element of the array. Step 2: If the current element is greater than the next element of the a..
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StackAlgoDS/DataStructure 2020. 1. 16. 23:04
1. Overview Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). 2. Description 2.1 Operations 2.1.1 Push Adds an item in the stack. If the stack is full, then it is said to be an Overflow condition. 2.1.2 Pop Removes an item from the stack. The items are popped in the reversed..