IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v28y1998i4p119-132.html
   My bibliography  Save this article

The Teachers' Forum: Teaching Nonlinear Programming Using Cooperative Active Learning

Author

Listed:
  • Leon Lasdon

    (MSIS Department, College of Business Administration, The University of Texas at Austin, Austin, Texas 78712)

  • Judith S. Liebman

    (Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801)

Abstract

In teaching nonlinear programming (NLP) to undergraduate and graduate students majoring in engineering or operations research, we have changed our instructional objectives, course content, and approaches to teaching because of recent dramatic improvements in optimization software and computer hardware. Our primary instructional innovation is to use cooperative active learning methods rather than a traditional lecture format.

Suggested Citation

  • Leon Lasdon & Judith S. Liebman, 1998. "The Teachers' Forum: Teaching Nonlinear Programming Using Cooperative Active Learning," Interfaces, INFORMS, vol. 28(4), pages 119-132, August.
    • Handle: RePEc:inm:orinte:v:28:y:1998:i:4:p:119-132
    DOI: 10.1287/inte.28.4.119
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.28.4.119
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.28.4.119?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arne Stolbjerg Drud, 1994. "CONOPT—A Large-Scale GRG Code," INFORMS Journal on Computing, INFORMS, vol. 6(2), pages 207-216, May.
    2. Leon S. Lasdon & John Plummer & Gang Yu, 1995. "Primal-Dual and Primal Interior Point Algorithms for General Nonlinear Programs," INFORMS Journal on Computing, INFORMS, vol. 7(3), pages 321-332, August.
    3. Judith S. Liebman, 1998. "Teaching Operations Research: Lessons from Cognitive Psychology," Interfaces, INFORMS, vol. 28(2), pages 104-110, April.
    4. Stuart Smith & Leon Lasdon, 1992. "Solving Large Sparse Nonlinear Programs Using GRG," INFORMS Journal on Computing, INFORMS, vol. 4(1), pages 2-15, February.
    5. Jack W. Fellers, 1996. "People Skills: Using the Cooperative Learning Model to Teach Students “People Skills”," Interfaces, INFORMS, vol. 26(5), pages 42-49, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jason R. W. Merrick & Jill R. Hardin & Russell Walker, 2006. "Partnerships in Training," Interfaces, INFORMS, vol. 36(4), pages 359-370, August.
    2. James Corner & Patricia Doyle Corner, 2003. "Teaching OR/MS Using Discussion Leadership," Interfaces, INFORMS, vol. 33(3), pages 60-69, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klaus Mittenzwei & Wolfgang Britz, 2018. "Analysing Farm‐specific Payments for Norway using the Agrispace Model," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 777-793, September.
    2. Ni, Yuanming & Steinshamn, Stein I. & Kvamsdal, Sturla F., 2022. "Negative shocks in an age-structured bioeconomic model and how to deal with them," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 15-30.
    3. Huiyi Cao & Kamil A. Khan, 2023. "General convex relaxations of implicit functions and inverse functions," Journal of Global Optimization, Springer, vol. 86(3), pages 545-572, July.
    4. Duarte, Belmiro P.M. & Sagnol, Guillaume & Wong, Weng Kee, 2018. "An algorithm based on semidefinite programming for finding minimax optimal designs," Computational Statistics & Data Analysis, Elsevier, vol. 119(C), pages 99-117.
    5. Artur M. Schweidtmann & Alexander Mitsos, 2019. "Deterministic Global Optimization with Artificial Neural Networks Embedded," Journal of Optimization Theory and Applications, Springer, vol. 180(3), pages 925-948, March.
    6. Conrado Borraz-Sánchez & Russell Bent & Scott Backhaus & Hassan Hijazi & Pascal Van Hentenryck, 2016. "Convex Relaxations for Gas Expansion Planning," INFORMS Journal on Computing, INFORMS, vol. 28(4), pages 645-656, November.
    7. Andreas Lundell & Jan Kronqvist & Tapio Westerlund, 2022. "The supporting hyperplane optimization toolkit for convex MINLP," Journal of Global Optimization, Springer, vol. 84(1), pages 1-41, September.
    8. Tosoni, E. & Salo, A. & Govaerts, J. & Zio, E., 2019. "Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 561-573.
    9. Santos, Lucas F. & Costa, Caliane B.B. & Caballero, José A. & Ravagnani, Mauro A.S.S., 2022. "Framework for embedding black-box simulation into mathematical programming via kriging surrogate model applied to natural gas liquefaction process optimization," Applied Energy, Elsevier, vol. 310(C).
    10. Durand-Lasserve, Olivier & Almutairi, Hossa & Aljarboua, Abdullah & Pierru, Axel & Pradhan, Shreekar & Murphy, Frederic, 2023. "Hard-linking a top-down economic model with a bottom-up energy system for an oil-exporting country with price controls," Energy, Elsevier, vol. 266(C).
    11. Masaki Kimizuka & Sunyoung Kim & Makoto Yamashita, 2019. "Solving pooling problems with time discretization by LP and SOCP relaxations and rescheduling methods," Journal of Global Optimization, Springer, vol. 75(3), pages 631-654, November.
    12. Michael D. Teter & Johannes O. Royset & Alexandra M. Newman, 2019. "Modeling uncertainty of expert elicitation for use in risk-based optimization," Annals of Operations Research, Springer, vol. 280(1), pages 189-210, September.
    13. Rastinejad, Justin & Putnam, Sloane & Stuber, Matthew D., 2023. "Technoeconomic assessment of solar technologies for the hybridization of industrial process heat systems using deterministic global dynamic optimization," Renewable Energy, Elsevier, vol. 216(C).
    14. M. Argáez & R. A. Tapia, 2002. "On the Global Convergence of a Modified Augmented Lagrangian Linesearch Interior-Point Newton Method for Nonlinear Programming," Journal of Optimization Theory and Applications, Springer, vol. 114(1), pages 1-25, July.
    15. Emmanuel Ogbe & Xiang Li, 2019. "A joint decomposition method for global optimization of multiscenario nonconvex mixed-integer nonlinear programs," Journal of Global Optimization, Springer, vol. 75(3), pages 595-629, November.
    16. Marian Leimbach & Anselm Schultes & Lavinia Baumstark & Anastasis Giannousakis & Gunnar Luderer, 2017. "Solution algorithms for regional interactions in large-scale integrated assessment models of climate change," Annals of Operations Research, Springer, vol. 255(1), pages 29-45, August.
    17. G.-Fivos Sargentis & Theano Iliopoulou & Stavroula Sigourou & Panayiotis Dimitriadis & Demetris Koutsoyiannis, 2020. "Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures," Sustainability, MDPI, vol. 12(19), pages 1-22, September.
    18. Ximing Cai & Daene C. McKinney & Leon S. Lasdon & David W. Watkins, 2001. "Solving Large Nonconvex Water Resources Management Models Using Generalized Benders Decomposition," Operations Research, INFORMS, vol. 49(2), pages 235-245, April.
    19. Watson, Harry A.J. & Vikse, Matias & Gundersen, Truls & Barton, Paul I., 2018. "Optimization of single mixed-refrigerant natural gas liquefaction processes described by nondifferentiable models," Energy, Elsevier, vol. 150(C), pages 860-876.
    20. Xu, Jianwei & Liang, Yingzong & Luo, Xianglong & Chen, Jianyong & Yang, Zhi & Chen, Ying, 2023. "Techno-economic-environmental analysis of direct-contact membrane distillation systems integrated with low-grade heat sources: A multi-objective optimization approach," Applied Energy, Elsevier, vol. 349(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:28:y:1998:i:4:p:119-132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.