Algorithm
An algorithm is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation.
Examples:
- Binary Search Trees
- Binary Trees
- Linked Lists
- Searching
- Strings
- Stacks
- Dynamic Programming
- Famous Algorithms
- Recursion
- Sorting
- Graphs
- Heaps
- Tries
- Bubble Sort
- Binary Search
- Quick Sort
- Merge Sort
- Depth-First Search
- Breadth-First Search
- Dijkstra's Algorithm
- Bellman-Ford Algorithm
- A* Search Algorithm
- RSA Encryption Algorithm
- Huffman Coding Algorithm
- Genetic Algorithm
- K-Means Clustering Algorithm
- Convolutional Neural Network Algorithm
- Backpropagation Algorithm
- Monte Carlo Simulation Algorithm
- PageRank Algorithm
- Singular Value Decomposition Algorithm
- Apriori Algorithm
- Traveling Salesman Problem Algorithm
- Binary Tree Traversal Algorithms
- Kruskal's Algorithm
- Prim's Algorithm
- Floyd-Warshall Algorithm
- Johnson's Algorithm
- Maximum Flow Algorithm
- Minimum Spanning Tree Algorithm
- Depth-First Spanning Tree Algorithm
- Randomized Quick Sort Algorithm
- Shellsort Algorithm
- Heapsort Algorithm
- Radix Sort Algorithm
- Quicksort with Median-of-Three Partitioning Algorithm
- Fisher-Yates Shuffle Algorithm
- Hill Climbing Algorithm
- Simulated Annealing Algorithm
- Ant Colony Optimization Algorithm
- Particle Swarm Optimization Algorithm
- Artificial Bee Colony Algorithm
- Genetic Programming Algorithm
What is Algorithm?
An algorithm is a set of instructions or a procedure that is followed to solve a problem or perform a specific task. It is a step-by-step procedure or formula that outlines how to perform a particular operation, often in a systematic and efficient way.In computer science, algorithms are used to solve complex problems and perform tasks such as data processing, searching and sorting large datasets, and mathematical calculations. They are essential to the functioning of computers and other digital devices, as they provide a way to automate complex operations and perform tasks quickly and accurately.
Algorithms can be expressed in many different forms, such as pseudocode, flowcharts, or code in a programming language. They can also be analyzed and evaluated based on factors such as their time complexity, space complexity, and the efficiency of the underlying data structures and algorithms used.
- Snippet from Wikipedia: Algorithm
In mathematics and computer science, an algorithm ( ) is any well-defined set of instructions that when followed terminates after a finite number of steps that comprise a solution to a given computational problem. Advanced algorithms may utilize loops and involve many conditionals that decide the next step based on the inputs provided, resulting in long sequences of steps before halting, but all algorithms terminate by definition.
In contrast to algorithms, heuristics might be applied to problems for which it is not possible for an algorithmic solution to exist, e.g., because the problem is undecidable or there is otherwise no way to define the correct or optimal result. For example, although social media recommender systems are erroneously called "algorithms" in popular media, they are accurately classified as heuristics, because there is no objective criteria by which a recommendation produced by such a system can be judged as "correct".
As an effective method, an algorithm can be expressed within both a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and input, a computation occurs at each step, eventually producing output and terminating. Randomized algorithms incorporate random inputs which can be used to simulate non-deterministic output even though the transitions between states are deterministic.
GitHub Topics
Algorithms are detailed sets of guidelines created for a computer program to complete tasks efficiently and thoroughly.