What were the best attempts to solve the P vs NP problem?
How does one go about solving the P versus NP problem?
If the P versus NP problem gets solved, somehow, what would be the biggest impact? Does P = NP? Is P = NP? Which is a better intuition on P, NP, NP-Complete, or NP-Hard? If I solve any NP problem can I then apply that to solve all other NP problems? Does using heuristics count as solving the problem? What are P, NP, NP-complete, and NP-hard? How can I prove that P=NP? What is NP-hard problem and how would you explain a fifth grade student? How do you frame General AI as an NP-complete decision problem? What is NPV analysis? How is p value calculated? How do you explain NP Complete and NP-hard to a child? Why is the Knapsack problem NP complete even when it has complexity O(nW)? What would happen if I proved P=NP? Say we find an algorithm which solves NP-Complete problems in polynomial time but we can't prove it. What would the consequences be? In layman's terms, what is the difference between a P-P plot and a Q-Q plot, and when would we use one or the other? What is npt? What is the difference between a PFD and P&ID? How can you use a very efficient [math]O(\sqrt{n})[/math] solution to an NP-Complete problem to make an General AI that is as smart as human? What are IRR and NPV in layman's terms? What should be the value of NPV to arrive at loan decision? What is problem-solving? How do I prepare for the NPAT (NMIMS)? What is NP-Completeness? How does someone become a better problem solver? Is the NMIMS - NPAT hard? What is the difference between gross NPA and net NPA? What is P/E? What are NPV and payback? How common is it for professors to assign problems to problem sets that they don't know how to solve themselves?