• DocumentCode
    130389
  • Title

    Inexact Newton matrix-free methods for solving complex biotechnological systems

  • Author

    Drag, Pawel ; Kwiatkowska, Marlena

  • Author_Institution
    Inst. of Comput. Eng., Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2014
  • fDate
    7-10 Sept. 2014
  • Firstpage
    597
  • Lastpage
    602
  • Abstract
    In the article a new approach for solving complex and highly nonlinear differential-algebraic equations (DAEs) was presented. An important kind of applications of DAE systems is modeling of biotechnological processes, which can have a very different course. An efficient solving of equations describing biotechnological industrial inlets results in better optimization of the processes and has a positive impact on the environment. Some of the mentioned processes were characterized by a highly nonlinear dynamics. To obtain the trajectories of the state numerically, the backward differentiation formula was used in the presented method. As a result, a large-scale system of nonlinear algebraic equations was obtained. To solve a such system, the inexact Newton matrix-free approach was proposed. The new algorithm was tested on a mathematical model of a fed-batch fermentor for penicillin production. The numerical simulations were executed in MATLAB using Wroclaw Center for Networking and Supercomputing.
  • Keywords
    Newton method; biotechnology; differential algebraic equations; mathematics computing; MATLAB; Wroclaw Center for Networking and Supercomputing; biotechnological industrial inlets; complex biotechnological systems; fed-batch fermentor; highly nonlinear differential-algebraic equations; inexact Newton matrix-free approach; inexact Newton matrix-free methods; large-scale system; mathematical model; nonlinear algebraic equations; nonlinear dynamics; numerical simulations; penicillin production; Equations; Jacobian matrices; Mathematical model; Newton method; Optimization; Production; Vectors; DAE systems; inexact Newton methods; matrix-free methods; system of nonlinear equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
  • Conference_Location
    Warsaw
  • Type

    conf

  • DOI
    10.15439/2014F216
  • Filename
    6933069