The P vs. NP millennial prize problem

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SUMMARY

The Millennial Institute requires a comprehensive understanding of computational theory and algorithms to consider the P vs. NP problem solved. A solution to the subset sum problem in polynomial time must demonstrate that it can be reduced to other NP-complete problems to meet the Institute's standards. Simply proving the subset sum problem's solvability without the necessary algorithmic context will not suffice. A reference to a known proof of reduction from another NP-complete problem is essential for validation.

PREREQUISITES
  • Understanding of NP-completeness and polynomial time reductions
  • Knowledge of computational theory
  • Familiarity with algorithmic languages and proof techniques
  • Background in number theory and combinatorics
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  • Research polynomial time reductions in NP-complete problems
  • Study the principles of computational theory
  • Learn about algorithmic languages used in formal proofs
  • Examine existing proofs related to the subset sum problem and other NP-complete problems
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This discussion is beneficial for computer scientists, mathematicians, and researchers focused on computational complexity, algorithm design, and those preparing to tackle the P vs. NP problem.

David Carroll
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Question: Does anyone know what the Millennial Institute's standards are to consider the P vs. NP problem solved?

Namely, if one were to find a solution to the particular problem of subset sums in polynomial time, but one didn't know how this solution could be mapped onto other NP-complete problems, would the Institute consider the problem solved, since presumably (though I'm not sure if this is true) a polynomial solution to any NP-complete problem can be translated into a polynomial solution to all the others?

What I mean is: if I knew enough about number theory and combinatorics to prove that the subset sum problem can be solved in a polynomial number of steps, but didn't know jack about computation theory or algorithms, would that suffice? Or would I have to master and include the algorithmic language necessary in a submitted paper for the Institute to even take me seriously?

Or is it even possible for there to be a solution to one NP-complete problem that is not translatable to the others?
 
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David Carroll said:
Or is it even possible for there to be a solution to one NP-complete problem that is not translatable to the others?

No. A problem is only np-complete if every other problem that is in np can be reduced to it in polynomial time.
To show this you only have to show that one other problem known to be np-complete can be reduced to your problem in polynomial time.
I'm sure a reference to a proof would be sufficient.
 

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