IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i21p2650-d660488.html
   My bibliography  Save this article

Novel Static Multi-Layer Forest Approach and Its Applications

Author

Listed:
  • Ganesh Bhagwat

    (Mercedes-Benz Research and Development India, Whitefield, Bangalore 560066, India)

  • Shristi Kumari

    (Robert Bosch Engineering & Business Solutions Pvt. Ltd., Adugodi, Bangalore 560004, India)

  • Vaishnavi Patekar

    (KPIT Technologies Pvt. Ltd., Bellandur, Bangalore 560103, India)

  • Adrian Marius Deaconu

    (Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, Transilvania University of Brasov, 50003 Brasov, Romania)

Abstract

The existing multi-layer tree is of dynamic linked list type which has many limitations and is complicated due to the pointer-node structure. Static array representation gives more flexibility in programming of algorithms and operations like insertion, deletion, and search. It also reduces the storage space. This paper presents a new method for representing multi-layer forest data structure in array format. It also explains various tree operations, unique data compression algorithm and migration algorithm between traditional approach and the proposed data structure. Most of the fundamental algorithms like those from artificial intelligence that employ decision trees are based on trees/forest data structure. The current paper brings a completely new idea in the representation of these data structures without employing recursion and targeting memory optimizations with reduced code complexities. The applications of forest data structures are many and span over various interdisciplinary areas of Engineering, Medicine, Aviation, Locomotive, Marine, etc. The proposed novel approach not just introduces a new method to look at the tree data structure but also provides the flexibility to adapt to the existing methods as per the user needs. A few such applications in Simulink debugging and the Forest visualisation have been discussed in detail in this paper.

Suggested Citation

  • Ganesh Bhagwat & Shristi Kumari & Vaishnavi Patekar & Adrian Marius Deaconu, 2021. "Novel Static Multi-Layer Forest Approach and Its Applications," Mathematics, MDPI, vol. 9(21), pages 1-21, October.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2650-:d:660488
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/21/2650/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/21/2650/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:9:y:2021:i:21:p:2650-:d:660488. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.