What you would learn in Searching and Sorting Algorithms course?
You are welcome! This course will teach you how to sort and search algorithms. We will learn how to visualize the algorithm workflow and understand the basics. What we learned in Cpp Programming will be implemented. Each algorithm will be compared in terms of stability, time, space, adaptability, and stability.
The searching algorithms that we will be studying in this course are
1. Linear Search
2. Binary Search - Both Recursive and Iterative
3. Jump Search.
The sorting algorithms what we will be looking at in this course are:
1. Bubble Sort
2. Selection Sort
3. Merge Sort
4. Quick Sort
5. Count Sort
6. Bucket Sort
7. Radix Sort
8. Insertion Sort
You will understand the common use cases, workflow, time complexity, and implementation of every algorithm.
A sorting algorithm is an algorithm that arranges elements in a list in a particular order. The most common orders are numerical and lexicographical. It is essential to efficiently sort data to optimize the efficiency of other algorithms, such as search and merge algorithms. It is often used for canonicalizing data or producing human-readable output. Formally, any sorting algorithm's output must meet two conditions.
The output is in nondecreasing order (each element is no smaller than the previous element according to the desired total order);
The output is a permutation (a reordering yet retaining all of the original elements) of the input.
For optimum efficiency, the input data in fast memory should be stored in a data structure that allows random access rather than one that allows only sequential access.
Searching and Sorting Algorithms
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