Skip to main content
Log in

A note on logspace optimization

  • Published:
computational complexity Aims and scope Submit manuscript

Abstract

We show that computing iterated multiplication of word matrices over {0,1}*, using the operations maximum and concatenation, is complete for the class optL of logspace optimization functions. The same problem for word matrices over {1}* is complete for the class FNL of nondeterministic logspace functions. Improving previously obtained results, we furthermore place the class optL in AC1, and characterize FNL by restricted logspace optimization functions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • E. Allender, D. Bruschi, andG. Pighizzini, The complexity of computing maximal word functions.Comput complexity 3 (1993), 368–391.

    Google Scholar 

  • C. Àlvarez andB. Jenner, A very hard log-space counting class.Theoret. Comput. Sci. 107:1 (1993), 3–30.

    Google Scholar 

  • C. Àlvarez, J.L. Balcázar, andB. Jenner, Adaptive logspace reducibility and parallel time.Math. Systems Theory 28 (1995), 117–140.

    Google Scholar 

  • D.A. Barrington, Bounded-width polynomial-size branching programs recognize exactly those languages in NC1.J. Comput. System Sci. 38 (1989), 150–164.

    Google Scholar 

  • M. Beaudry and P. McKenzie, Circuits, matrices, and nonassociative computation.Proc. 7th Ann. IEEE Conf. Structure in Complexity Theory, 1992, 94–106.

  • M. Ben-Or andR. Cleve, Computing algebraic formulas using a constant number of registers.SIAM J. Comput. 21 (1992), 54–58.

    Google Scholar 

  • D. Bruschi andG. Pighizzini, The complexity of computing maximal word functions.Proc. 8th FCT Conf., Lecture Notes in Computer Science529. Springer Verlag, Berlin, 1991, 157–167.

    Google Scholar 

  • A.K. Chandra, L. Stockmeyer, andU. Vishkin, Constant depth reducibility.SIAM J. Comput. 13:2 (1984), 423–439.

    Google Scholar 

  • S.A. Cook, A taxonomy of problems with fast parallel algorithms.Inform. and Control 64 (1985), 2–22.

    Google Scholar 

  • S. A. Cook andP. McKenzie, Problems complete for deterministic logarithmic space.J. Algorithms 8 (1987), 385–394.

    Google Scholar 

  • C. Damm, DET=L#L?Informatik Preprint 8, Fachbereich Informatik der Humboldt-Universität zu Berlin, 1991.

  • N. Immerman, Nondeterministic space is closed under complement.SIAM J. Comput. 17:5 (1988), 935–938.

    Google Scholar 

  • N. Immerman andS. Landau, The complexity of iterated multiplication.Inform. and Comput. 116 (1995), 103–116.

    Google Scholar 

  • A., Selman, X. Mei-rui, andR. Book, Positive relativizations of complexity classes.SIAM J. Comput. 12 (1983), 565–579.

    Google Scholar 

  • R. Szelepcsényi, The method of forced enumeration for nondeterministic automata.Acta Infor. 26 (1988), 279–284.

    Google Scholar 

  • S. Toda, Counting problems computationally equivalent to computing the determinant.Technical Report CSIM 91-07, Dept. Comp. Sci. and Info. Math., Univ. of Electro-Communications, Tokyo, May 1991.

  • V. Vinay, Counting auxiliary pushdown automata and semi-unbounded arithmetic circuits.Proc. 6th Ann. IEEE Conf. Structure in Complexity Theory, 1991, 270–284.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Àlvarez, C., Jenner, B. A note on logspace optimization. Comput Complexity 5, 155–166 (1995). https://doi.org/10.1007/BF01268143

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01268143

Key words

Subject classifications

Navigation