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The Status of Nonlinear Programming Software

Author

Listed:
  • Allan D. Waren

    (Cleveland State University, Cleveland, Ohio)

  • Leon S. Lasdon

    (University of Texas, Austin, Texas)

Abstract

Desirable features of software for solving nonlinear optimization problems are discussed, and several available codes for solving NLPs are described in terms of these features. Codes are classified by algorithm type. Addresses where codes may be obtained are given. The paper concludes with a brief survey of available computational experience with several classes of algorithms and with some of the specific codes considered.

Suggested Citation

  • Allan D. Waren & Leon S. Lasdon, 1979. "The Status of Nonlinear Programming Software," Operations Research, INFORMS, vol. 27(3), pages 431-456, June.
    • Handle: RePEc:inm:oropre:v:27:y:1979:i:3:p:431-456
    DOI: 10.1287/opre.27.3.431
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    Cited by:

    1. Mayer, D. G. & Belward, J. A. & Burrage, K., 1996. "Use of advanced techniques to optimize a multi-dimensional dairy model," Agricultural Systems, Elsevier, vol. 50(3), pages 239-253.
    2. Rowse, John, 1980. "1. On User Solution Strategy for Mixed-Integer Linear Programming Models 2. On the Solution of Spatial Price and Allocation Models," Queen's Institute for Economic Research Discussion Papers 275172, Queen's University - Department of Economics.
    3. Li, Tao & Wan, Yan, 2019. "Estimating the geographic distribution of originating air travel demand using a bi-level optimization model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 267-291.

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