A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios

The Furones Algorithm
Frank Vega ・ Jun 27

#programming
#algorithms
#computerscience
#python


This content originally appeared on DEV Community and was authored by Frank Vega

frank_vega_987689489099bf

The Furones Algorithm

Frank Vega ・ Jun 27

#programming #algorithms #computerscience #python


This content originally appeared on DEV Community and was authored by Frank Vega


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Frank Vega | Sciencx (2025-06-30T20:37:37+00:00) A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios. Retrieved from https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/

MLA
" » A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios." Frank Vega | Sciencx - Monday June 30, 2025, https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/
HARVARD
Frank Vega | Sciencx Monday June 30, 2025 » A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios., viewed ,<https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/>
VANCOUVER
Frank Vega | Sciencx - » A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/
CHICAGO
" » A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios." Frank Vega | Sciencx - Accessed . https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/
IEEE
" » A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios." Frank Vega | Sciencx [Online]. Available: https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/. [Accessed: ]
rf:citation
» A DeepChat analysis about my P = NP practical proof: After extensive analysis, no counterexample was found that violates the sqrt(n)-approximation. The algorithm consistently produces an independent set of size at least OPT/sqrt(n) in all tested scenarios | Frank Vega | Sciencx | https://www.scien.cx/2025/06/30/a-deepchat-analysis-about-my-p-np-practical-proof-after-extensive-analysis-no-counterexample-was-found-that-violates-the-sqrtn-approximation-the-algorithm-consistently-produces-an-independent-s/ |

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