Computable example sentences

"Computable" Example Sentences

1. The problem is computable, but the solution requires complex algorithms.
2. The output of the program is not computable due to errors in the code.
3. The data set is so large that processing it is not computable in real-time.
4. The accuracy of the calculation depends on whether the function is computable or not.
5. The function is computable, but some inputs may exceed the program's memory limit.
6. The algorithm's running time is polynomial, making it computable in reasonable time.
7. The non-deterministic algorithm can solve problems that are not computable by deterministic algorithms.
8. The non-computable problem requires a heuristic approach to approximate its solution.
9. The solution relies on the computability of the input values.
10. The computability theory studies the limits and capabilities of computation.
11. The computable numbers are those that can be expressed as a finite or infinite sequence of digits.
12. The halting problem is an undecidable problem in computability theory.
13. The computable model accurately predicts the behavior of the system.
14. The computable element of the program is its recursive function.
15. The problem can be transformed into a computable form by a suitable reduction.
16. The computable complexity of the problem is determined by the number of steps required to solve it.
17. The computability of the system must be tested before implementing it in production.
18. The computable approximation of the function is sufficient for practical purposes.
19. The computability of the function can be improved by optimizing the code.
20. The problem's computability may be hampered by the lack of sufficient data.
21. The Turing machine is a theoretical model of a computable system.
22. The Church-Turing thesis states that any computable function can be computed by a Turing machine.
23. The computable function's domain and range determine its limitations and capabilities.
24. The non-computable problem can be approximated by a probabilistic algorithm.
25. The computable representation of the data is necessary for effective processing.
26. The computable model of the physical system requires simplifying assumptions.
27. The computability of the problem can be improved by using parallel processing.
28. The non-computable problem cannot be solved through brute force search.
29. The computability of the problem depends on the input size and the computational resources available.
30. The computable form of the problem allows for a straightforward solution.

Common Phases

1. The problem is computable;
2. The data is computable;
3. The solution is computable;
4. The algorithm is computable;
5. The function is computable.