IDEAS home Printed from https://ideas.repec.org/b/spr/spopap/978-1-4614-9311-2.html
   My bibliography  Save this book

Mathematical Modeling in Economics, Ecology and the Environment

Author

Listed:
  • Natali Hritonenko

    (Prairie View A&M University)

  • Yuri Yatsenko

    (Houston Baptist University)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Natali Hritonenko & Yuri Yatsenko, 2013. "Mathematical Modeling in Economics, Ecology and the Environment," Springer Optimization and Its Applications, Springer, edition 2, number 978-1-4614-9311-2, September.
    • Handle: RePEc:spr:spopap:978-1-4614-9311-2
    DOI: 10.1007/978-1-4614-9311-2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Bréchet, Thierry & Hritonenko, Natali & Yatsenko, Yuri, 2016. "Domestic environmental policy and international cooperation for global commons," Resource and Energy Economics, Elsevier, vol. 44(C), pages 183-205.
    2. Woi Sok Oh & Rachata Muneepeerakul, 2019. "How do substitutability and effort asymmetry change resource management in coupled natural-human systems?," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    3. Simin Aghaei Amirkhizi & Yaghoub Mahmoudi & Ali Salimi Shamloo, 2022. "Legendre polynomials approximation method for solving Volterra integral equations of the first kind with discontinuous kernels," Indian Journal of Pure and Applied Mathematics, Springer, vol. 53(2), pages 492-504, June.
    4. V. V. Brinza & Yu. Yu. Kostyukhin & I. V. Fadeeva, 2017. "Potential of modeling techniques organizational systems with matrix structure and the possibility of expanding their information base," Russian Journal of Industrial Economics, MISIS, issue 3.
    5. Yuri Yatsenko, 2015. "Models and Games with Adaptation and Mitigation," CEEES Paper Series CE3S-01/15, European University at St. Petersburg, Department of Economics.
    6. Natali Hritonenko & Yuri Yatsenko, 2006. "Optimization of Harvesting Return from Age-Structured Population," Journal of Bioeconomics, Springer, vol. 8(2), pages 167-179, August.
    7. Hua, Yue & Xie, Rui & Su, Yaqin, 2018. "Fiscal spending and air pollution in Chinese cities: Identifying composition and technique effects," China Economic Review, Elsevier, vol. 47(C), pages 156-169.
    8. Yuri Yatsenko & Natali Hritonenko, 2016. "Asset replacement under improving operating and capital costs: a practical approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 2922-2933, May.
    9. Kebai Li & Tianyi Ma & Tom Dooling & Guo Wei, 2019. "Urban Comprehensive Water Consumption: Nonlinear Control of Production Factor Input Based upon the C-D Function," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    10. Denis Sidorov & Aleksandr Tynda & Ildar Muftahov & Aliona Dreglea & Fang Liu, 2020. "Nonlinear Systems of Volterra Equations with Piecewise Smooth Kernels: Numerical Solution and Application for Power Systems Operation," Mathematics, MDPI, vol. 8(8), pages 1-19, August.
    11. Natali Hritonenko & Olga Yatsenko & Yuri Yatsenko, 2022. "Model with transmission delays for COVID‐19 control: Theory and empirical assessment," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 1218-1244, October.
    12. Natali Hritonenko & Nobuyuki Kato & Yuri Yatsenko, 2017. "Optimal Control of Investments in Old and New Capital Under Improving Technology," Journal of Optimization Theory and Applications, Springer, vol. 172(1), pages 247-266, January.
    13. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    14. Yu. Yu. Kostyukhin, 2019. "Methodological provisions of building models of industrial enterprise development," Russian Journal of Industrial Economics, MISIS, vol. 12(1).
    15. Goetz, Renan & Yatsenko, Yuri & Hritonenko, Natali & Xabadia, Angels & Abdulai, Awudu, 2019. "The dynamics of productive assets, contract duration and holdup," Mathematical Social Sciences, Elsevier, vol. 97(C), pages 24-37.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    Statistics

    Access and download statistics

    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:spr:spopap:978-1-4614-9311-2. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.