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Efficient algorithm for computing large scale systems of differential algebraic equations

2015/06/12 by Xiaolin Qin, Qin, Xiaolin, Juan Tang +7
Computer Science · Engineering · Mathematics · #FOS: Electrical engineering #FOS: Mathematics #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Numerical methods for differential equations #Real-time simulation and control systems #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1506.03963

openalex publication_date 2015/06/12 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

In many mathematical models of physical phenomenons and engineering fields, such as electrical circuits or mechanical multibody systems, which generate the differential algebraic equations (DAEs) systems naturally. In general, the feature of DAEs is a sparse large scale system of fully nonlinear and high index. To make use of its sparsity, this paper provides a simple and efficient algorithm for computing the large scale DAEs system. We exploit the shortest augmenting path algorithm for finding maximum value transversal (MVT) as well as block triangular forms (BTF). We also present the extended signature matrix method with the block fixed point iteration and its complexity results. Furthermore, a range of nontrivial problems are demonstrated by our algorithm.

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