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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
         
        
            Conference_Location : 
Warsaw