- The ultimate thread pool - 4 Updates
- ℙ≠ℕℙ proof - 1 Update
Bonita Montero <Bonita.Montero@gmail.com>: Feb 04 05:58AM +0100 Am 03.02.2024 um 21:05 schrieb Chris M. Thomasson: > Hummm... You threw me for a loop here... What exactly do you mean? Show > me a condensed example. Those warnings are there for a reason... You > really need to model it in a race detector. Relacy is a fun one. The code doesn't need any race detector, the synchronization part is trivial. |
"Chris M. Thomasson" <chris.m.thomasson.1@gmail.com>: Feb 03 09:30PM -0800 On 2/3/2024 8:58 PM, Bonita Montero wrote: >> You really need to model it in a race detector. Relacy is a fun one. > The code doesn't need any race detector, the synchronization part is > trivial. What happens if you turn off all of those very important warnings? |
Bonita Montero <Bonita.Montero@gmail.com>: Feb 04 07:41AM +0100 Am 04.02.2024 um 06:30 schrieb Chris M. Thomasson: >> The code doesn't need any race detector, the synchronization part is >> trivial. > What happens if you turn off all of those very important warnings? What a question ... I get incorrect warnings while compiling. |
"Chris M. Thomasson" <chris.m.thomasson.1@gmail.com>: Feb 04 01:59PM -0800 On 2/3/2024 10:41 PM, Bonita Montero wrote: >> What happens if you turn off all of those very important warnings? > What a question ... > I get incorrect warnings while compiling. Why are they incorrect, according to you? Boil it down to a simple example where these warnings are incorrect. That way I can reproduce it on my side. |
wij <wyniijj5@gmail.com>: Feb 04 11:11AM +0800 This file is intended a proof that ℙ≠ℕℙ. https://sourceforge.net/projects/cscall/files/MisFiles/PNP-proof.txt/download ------------- ANPC::= Set of decision problems that additional information c must be provided to compute the problem in P-time (including processing the information c (certificate)). Since the information c can be generated in O(2^N) time, the upper bound of ANPC is O(2^N) (checking c is in P-time). Corollary: ANPC ⊆ ℕℙ (from ℕℙ definition: "... ℕℙ is the set of decision problems verifiable in polynomial time by a deterministic Turing machine. https://en.wikipedia.org/wiki/NP_(complexity)") If we try to prove or show that an ANPC problem can be solved in P- time, we would also be trying to prove/show that the requirement of the additional information c is not necessary. Thus, such a proof will just prove itself not a valid proof, IOW, ANPC==P is unprovable. Conclusion: ANPC is not P-time provable/solvable (implied by ANPC definition) Corollary: ℕℙ!=ℙ (ANPC ⊆ ℕℙ AND ANPC!=ℙ) QED. ------------ |
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