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Some non conventional computers [1][2] do exponential space in polynomial time.

[1] Lipton, R. DNA solution of hard computational problems. Science 268 (1995), 542-545.

[2] Head, T. Aqueous Solutions of Algorithmic Problems: Emphasizing Knights on a 3 x 3. Lecture Notes In Computer Science; Vol. 2340



I skimmed [2] and it seems very interesting.

Still, regardless of whether P!=NP, it is known that P is contained in NP which is contained in PSPACE. These classes are defined for certain computational models. If you change the computational model then those definitions might not make sense.


>Some non conventional computers [1][2] do exponential space in polynomial time.

For under $500 ...


As a re-representation of the DNA computing work cited above, you can actually do exponential work in poly time using a photocopier.

EDIT: here's a link to a paper describing this approach: http://www.springerlink.com/content/j5213p8761224304/


Whoa... I never thought I'd see my dad's work reffed on HN.




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