Wondering how to use Subproblems in a sentence? Below are 8 example sentences from authentic English texts. Including the meaning .
Subproblems meaning
plural of subproblem
Using Subproblems
- The main meaning on this page is: plural of subproblem
- In the example corpus, subproblems often appears in combinations such as: subproblems are, subproblems and, specific subproblems.
Context around Subproblems
- Average sentence length in these examples: 21.4 words
- Position in the sentence: 1 start, 4 middle, 3 end
- Sentence types: 8 statements, 0 questions, 0 exclamations
Corpus analysis for Subproblems
- In this selection, "subproblems" usually appears in the middle of the sentence. The average example has 21.4 words, and this corpus slice is mostly made up of statements.
- Around the word, specific, multiple, asymmetrical and overlap stand out and add context to how "subproblems" is used.
- Recognizable usage signals include conquer whereas subproblems overlap in and into multiple subproblems and so. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "subproblems" sits close to words such as aargau, abacos and abboud, which helps place it inside the broader word index.
Example types with subproblems
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Statistical In the 1990s, AI researchers developed sophisticated mathematical tools to solve specific subproblems. (14 words)
Parallel or distributed algorithms divide the problem into more symmetrical or asymmetrical subproblems and collect the results back together. (19 words)
In computer science main A common method of simplification is to divide a problem into subproblems of the same type. (20 words)
The main difference between dynamic programming and divide and conquer is that subproblems are more or less independent in divide and conquer, whereas subproblems overlap in dynamic programming. (28 words)
When subproblems are independent and there is no repetition, memoization does not help; hence dynamic programming is not a solution for all complex problems. (24 words)
By using memoization or maintaining a table of subproblems already solved, dynamic programming reduces the exponential nature of many problems to polynomial complexity. (23 words)
Example sentences (8)
The main difference between dynamic programming and divide and conquer is that subproblems are more or less independent in divide and conquer, whereas subproblems overlap in dynamic programming.
By using memoization or maintaining a table of subproblems already solved, dynamic programming reduces the exponential nature of many problems to polynomial complexity.
Divide and conquer divides the problem into multiple subproblems and so the conquer stage is more complex than decrease and conquer algorithms.
During the last 20 years of 20th century, various algorithms have been introduced to solve specific subproblems with a better complexity.
In computer science main A common method of simplification is to divide a problem into subproblems of the same type.
Parallel or distributed algorithms divide the problem into more symmetrical or asymmetrical subproblems and collect the results back together.
Statistical In the 1990s, AI researchers developed sophisticated mathematical tools to solve specific subproblems.
When subproblems are independent and there is no repetition, memoization does not help; hence dynamic programming is not a solution for all complex problems.
Common combinations with subproblems
These word pairs occur most frequently in English texts: