ACM Home Page
Please provide us with feedback. Feedback
Some connections between nonuniform and uniform complexity classes
Full text PdfPdf (635 KB)
Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twelfth annual ACM symposium on Theory of computing table of contents
Los Angeles, California, United States
Pages: 302 - 309  
Year of Publication: 1980
ISBN:0-89791-017-6
Authors
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 107,   Citation Count: 47
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/800141.804678
What is a DOI?

ABSTRACT

It is well known that every set in P has small circuits [13]. Adleman [1] has recently proved the stronger result that every set accepted in polynomial time by a randomized Turing machine has small circuits. Both these results are typical of the known relationships between uniform and nonuniform complexity bounds. They obtain a nonuniform upper bound as a consequence of a uniform upper bound. The central theme here is an attempt to explore the converse direction. That is, we wish to understand when nonuniform upper bounds can be used to obtain uniform upper bounds. In this section we will define our basic notion of nonuniform complexity. Then we will show how to relate it to more common notions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Adleman, “Two Theorems on Random Polynomial Time,” Proc. 19th IEEE Symp. on Foundations of Computer Science, pp. 75–83 (1978).
 
2
R. Aleliunas, R.M. Karp, R.J. Lipton, L. Lovasz C. Rackoff, “Random Walks, Universal Sequences, and the Complexity of Maze Problems,” Proc. 20th IEEE Symp. on Foundations of Computer Science, (1979).
 
3
A.K. Chandra and L.J. Stockmeyer, “Alternation,” Proc. 17th IEEE Symp. on Foundations of Computer Science, (1976).
4
 
5
S. Fortune, “A Note on Sparse Complete Sets,” SIAM J. Computing 8, pp. 431–433 (1979).
6
 
7
R.M. Karp, “Reducibility Among Combinatorial Problems,” in Complexity of Computer Computations (R.E. Miller and J.W. Thatcher, eds.), Plenum, New York (1972).
 
8
D. Kozen, “On Parallelism in Turing Machines,” Proc. IEEE Symp. Foundations of Computer Science, (1976).
 
9
A.R. Meyer and M.S. Paterson, “With What Frequency are Apparently Intractable Problems Difficult”, M.I.T. Tech. Report, Feb. 1979.
 
10
A.R. Meyer and L.J. Stockmeyer, “The Equivalence Problem for Regular Expressions with Squaring Requires Exponential Space,” Proc. 13th IEEE Symp. on Switching and Automata Theory, pp. }25;}29 (1972).
 
11
N. Pippenger, “On Simultaneous Resource Bounds,” Proc. 20th IEEE Symp. on Foundations of Computer Science, (}979)
 
12
D.A. Plaisted, “New NP-hard and NP-complete Polynomial and Integer Divisibility Problems,” Proc. 18th IEEE Symp. FOCS, pp. 241–253 (1977).
13
 
14
T.S. Schaefer, “On the Complexity of Some Two-Person Perfect-Information Games,” JCSS 16, pp. }85–225 (1978).
 
15
C.P. Schnorr, “Optimal Algorithms for Self-Reducible Problems, 3rd Int. Coll. on Automata, Lang. and Programming, Edinburgh (1976).
 
16
L.J. Stockmeyer, “The Polynomial-Time Heirarchy”, Theoretical Computer Science 3, p. 1–22 (1977).
 
17
L.G. Valiant, “Relative Complexity of Checking and Evaluating, U. of Leeds Tech. Report, 1974.
 
18
L.G. Valiant, “The Complexity of Computing the Permanent,” TCS, (1979)

CITED BY  47

Collaborative Colleagues:
Richard M. Karp: colleagues
Richard J. Lipton: colleagues