IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/202540.html
   My bibliography  Save this book chapter

Applying Monte Carlo Simulation in New Tech

In: Public Sector Crisis Management

Author

Listed:
  • Levent Yilmaz

Abstract

Monte Carlo in Monaco is given to the theory for mathematics, whose simulation process involves generating chance variables and exhibiting random behaviours in nature. This simulation is a powerful statistical analysis tool and widely used in both non-engineering fields and engineering fields for new perspectives. This simulation has been applied to diverse problems ranging from the simulation of complex physical phenomena such as atom collisions, to the simulation of river boundary layers as meanders and Dow Jones forecasting. It can deal with many random variables, various distribution types and highly nonlinear engineering models, while Monte Carlo is also suitable for solving complex engineering problems in two areas which are varying randomly. Monte Carlo simulation is given as an application for hydrogen energy potential determination.

Suggested Citation

  • Levent Yilmaz, 2020. "Applying Monte Carlo Simulation in New Tech," Chapters, in: Alexander Rozanov & Alexander Barannikov & Olga Belyaeva & Mikhail Smirnov (ed.), Public Sector Crisis Management, IntechOpen.
    • Handle: RePEc:ito:pchaps:202540
    DOI: 10.5772/intechopen.91264
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/72981
    Download Restriction: no
    File URL: https://libkey.io/10.5772/intechopen.91264?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
    ---><---

    More about this item

    Keywords

    Monte Carlo method; renewable energy; hydrogen potential;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

    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:ito:pchaps:202540. 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: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.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.