An algorithm is a step-by-step procedure or set of rules used to solve a problem or perform a task. It is a precise sequence of instructions that takes an input, processes it, and produces an output.
Key Characteristics of Algorithms:
- Definiteness – Each step is clearly defined.
- Input – Takes zero or more inputs.
- Output – Produces at least one output.
- Finiteness – Must complete in a limited number of steps.
- Effectiveness – Each step should be simple and executable.
Examples of Algorithms:
- Sorting algorithmsAn algorithm is a step-by-step procedure or set of rules used to solve a problem or perform a task. It is a precise sequence of instructions that takes an input, processes it, and produces an output. Key Characteristics of Algorithms: Definiteness – Each step is clearly defined. Input – Takes... More (e.g., Bubble Sort, Quick Sort) – Used to arrange data in a specific order.
- Search algorithmsAn algorithm is a step-by-step procedure or set of rules used to solve a problem or perform a task. It is a precise sequence of instructions that takes an input, processes it, and produces an output. Key Characteristics of Algorithms: Definiteness – Each step is clearly defined. Input – Takes... More (e.g., Binary Search, Linear Search) – Used to find an element in a dataset.
- Pathfinding algorithmsAn algorithm is a step-by-step procedure or set of rules used to solve a problem or perform a task. It is a precise sequence of instructions that takes an input, processes it, and produces an output. Key Characteristics of Algorithms: Definiteness – Each step is clearly defined. Input – Takes... More (e.g., Dijkstra’s Algorithm, A*) – Used in navigation and AI to find the shortest path.
- Machine Learning algorithmsAn algorithm is a step-by-step procedure or set of rules used to solve a problem or perform a task. It is a precise sequence of instructions that takes an input, processes it, and produces an output. Key Characteristics of Algorithms: Definiteness – Each step is clearly defined. Input – Takes... More (e.g., Decision Trees, Neural Networks) – Used for pattern recognition and AI tasks.
Would you like an example of an algorithm in a specific language or for a specific problem?