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1. Sorting algorithms (e.g. bubble sort, insertion sort, quicksort, mergesort)
2. Search algorithms (e.g. linear search, binary search)
3. Tree algorithms (e.g. BFS, DFS, AVL tree, red-black tree)
4. Graph algorithms (e.g. Dijkstra's algorithm, Prim's algorithm, Kruskal's algorithm)
5. Dynamic programming (e.g. knapsack problem, longest common subsequence)
6. Greedy algorithms (e.g. Huffman coding, activity selection problem)
7. Backtracking algorithms (e.g. n-queens problem, Sudoku solver)
8. Divide and conquer algorithms (e.g. merge sort, quick sort, Karatsuba algorithm for fast multiplication)
9. Stochastic algorithms (e.g. simulated annealing, genetic algorithms)
10. Machine learning algorithms (e.g. linear regression, k-nearest neighbors, decision trees)
11. Natural Language Processing Algorithms (e.g. Sentiment Analysis, Text Classification, Named Entity Recognition)
12. Computer Vision Algorithms (e.g. Object detection, Image Segmentation, Image Stitching)
13. Recommender System Algorithms (e.g. Collaborative Filtering, Content-Based Filtering, Hybrid Systems)
14. Clustering Algorithms (e.g. K-Means, Hierarchical Clustering, DBSCAN)
15. Artificial Intelligence Algorithms (e.g. A* algorithm, minimax algorithm, Q-learning)
16. Neural Network Algorithms (e.g. Perceptron, Backpropagation, Convolutional Neural Networks)
17. Deep Learning Algorithms (e.g. RNN, LSTM, GAN)
18. Compression Algorithms (e.g. Huffman coding, LZW, Arithmetic coding)
19. Cryptographic Algorithms (e.g. RSA, AES, DES)
20. Image Processing Algorithms (e.g. Image Enhancement, Image Restoration, Image Segmentation)
Answer:
Answer 1
Number of the operations for the best, worst and average cases for all the six algorithms are described below:
For algorithm 1
The best case is 1.
The worst case is 7.
The average case is 4.
For the algorithm 2
The best case is 0.
The worst case is N
The average case is i+1+.../N>= i
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An algorithm is a series of instructions used to perform a computation or address a group of problems in computer science or mathematics. The nature of algorithms is usually clear-cut, especially regarding sustaining data processing, computation, automated reasoning, and other sophisticated duties.
This sequence of instructions is carried out by a computer system to complete a certain task.
An algorithm design technique is a generic method for algorithmically resolving issues that may be used to solve a range of issues from many computing domains.
Here are the techniques –
Design and analysis of algorithms aid in creating algorithms for various computer science challenges. Before creating the program's actual code, it is beneficial to design and evaluate the logic of how the programme will function.
An algorithm is a step-by-step process that specifies a list of instructions to be carried out in a specific order to get the intended result. An algorithm can be implemented in multiple programming languages because algorithms are typically constructed independently of the underlying languages. Data intake, processing, and results output are the key phases of building an algorithm. The particular order cannot be altered. You need to remember it when writing algorithm assignments for students.
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