1. Unambiguous: Each step in an algorithm should be clear and lead to only one meaning. There should be no room for interpretation.

2. Well-Defined Inputs: An algorithm should specify its expected inputs. The inputs should be well-defined.

3. Well-Defined Outputs: Similarly, an algorithm should clearly define what output will be yielded and under what conditions.

4. Finiteness: An algorithm must always terminate after a finite time.

5. Feasibility: An algorithm must be simple, generic and practical such that it can be executed with the available resources.

6. Language Independent: An algorithm must be written in such a way that it can be implemented in any programming language, and not be language-specific.

7. Independent of the Programmer: The algorithm should be written in a way that allows it to be implemented by any programmer, not just the one who wrote it.

8. Effective: The algorithm should solve the problem it was designed to solve. It should be correct and efficient.

Question

1. Unambiguous: Each step in an algorithm should be clear and lead to only one meaning. There should be no room for interpretation.

2. Well-Defined Inputs: An algorithm should specify its expected inputs. The inputs should be well-defined.

3. Well-Defined Outputs: Similarly, an algorithm should clearly define what output will be yielded and under what conditions.

4. Finiteness: An algorithm must always terminate after a finite time.

5. Feasibility: An algorithm must be simple, generic and practical such that it can be executed with the available resources.

6. Language Independent: An algorithm must be written in such a way that it can be implemented in any programming language, and not be language-specific.

7. Independent of the Programmer: The algorithm should be written in a way that allows it to be implemented by any programmer, not just the one who wrote it.

8. Effective: The algorithm should solve the problem it was designed to solve. It should be correct and efficient.

Knowee AI · Accepted Answer