Hasty Briefsbeta

  • #P-vs-NP
  • #complexity-theory
  • #cryptography
  • Complexity theory classifies problems based on computational resources like time and space.
  • Big-O notation categorizes algorithms by their growth rates (e.g., O(1), O(n), O(n²), O(2ⁿ)).
  • P (Polynomial Time) problems are solvable quickly, while NP (Nondeterministic Polynomial Time) problems have verifiable solutions but may be hard to solve.
  • NP-Complete problems are universal hard problems; solving one could solve all NP problems.
  • NP-Hard problems are at least as hard as NP-Complete but may not be verifiable quickly.
  • P=NP would collapse cryptography and revolutionize AI by making optimization problems trivial.
  • Modern cryptography relies on one-way functions, which would become obsolete if P=NP.
  • The author had a dream about P=NP, leading to existential reflections on digital security.