Skip to main content
Log in

Reliable Optimal Production Control with Cobb-Douglas Model

  • Published:
Reliable Computing

Abstract

Production is the most fundamental activity in our economy. In this paper, a Cobb-Douglas production function is used as the mathematical model to describe the relationship among production, labor and capital. Two reliable production optimal control problems are studied. Algorithms to find dynamic optimal control intervals are provided with interval parameter presentations and interval computations.

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

  1. Alefeld, G. and Herzberger, J.: Introduction to Interval Computations, Academic Press, New York, 1983.

    Google Scholar 

  2. Kearfott, R. B., Dawande, M., Du, K., and Hu, C.: Algorithm 737: INTLIB: A Portable Fortran-77 Interval Standard-Function Library, ACM Trans. Math. Software 20(4) (1994), pp. 447-459.

    Google Scholar 

  3. Lancaster, K.: Introduction to Modern Micro Economics, Rand McNally & Co., Chicago, 1969.

    Google Scholar 

  4. Mings, T.: The Study of Economics: Principles, Concepts & Applications, Dushkin Publ., Guilford, CT, 1991.

    Google Scholar 

  5. Moore, R. E.: Interval Arithmetic and Automatic Error Analysis in Digital Computing, Ph.D. Dissertation, Stanford University, 1962.

  6. Moore, R. E.: Methods and Applications of Interval Analysis, SIAM, Philadelphia, 1979.

    Google Scholar 

  7. Stewart, J.: Calculus, Brooks/Cole Publ. Co., Monterey, CA, 1991.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hu, Z.H. Reliable Optimal Production Control with Cobb-Douglas Model. Reliable Computing 4, 63–69 (1998). https://doi.org/10.1023/A:1009902716765

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1009902716765

Keywords

Navigation