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The network complexity and the Turing machine complexity of finite functions
Authors:C P Schnorr
Affiliation:(1) Fachbereich Mathematik, Universität Frankfurt, Robert-Mayer Str. 10, D-6000 Frankfurt/M., Germany
Abstract:Summary Let L(f) be the network complexity of a Boolean function L(f). For any n-ary Boolean function L(f) let 
$$TC(f) = min\{ T_p^{\bar A} (n){\text{ (}}\parallel p\parallel  + 1gS_p^{\bar A} {\text{(}}n{\text{):}}res_p^{\bar A} {\text{(}}n{\text{) = }}f\} $$
. Hereby p ranges over all relative Turing programs and Amacr ranges over all oracles such that given the oracle Amacr, the restriction of p to inputs of length n is a program for L(f). parppar is the number of instructions of p. T p Amacr (n) is the time bound and S p Amacr of the program p relative to the oracle Amacr on inputs of length n. Our main results are (1) L(f) lE O(TC(L(f))), (2) TC(f) lE O(L(f) 2 2+epsiv) for every epsiv Gg O.The results of this paper have been reported in a main lecture at the 1975 annual meeting of GAMM, April 2–5, Göttingen
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