| 1. |
- Qin, Xiaolin, et al.
(författare)
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Efficient index reduction algorithm for large scale systems of differential algebraic equations
- 2016
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Ingår i: Applied Mathematics and Computation. - : ELSEVIER SCIENCE INC. - 0096-3003 .- 1873-5649. ; 277, s. 10-22
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Tidskriftsartikel (refereegranskat)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 index reduction of large scale DAEs system. We exploit the shortest augmenting path algorithm for finding maximum value transversal (MVT) as well as block triangular forms (BTFs). 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. (C) 2015 Elsevier Inc. All rights reserved.
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| 2. |
- Qin, Xiaolin, et al.
(författare)
-
Index reduction of differential algebraic equations by differential Dixon resultant
- 2018
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Ingår i: Applied Mathematics and Computation. - : ELSEVIER SCIENCE INC. - 0096-3003 .- 1873-5649. ; 328, s. 189-202
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Tidskriftsartikel (refereegranskat)abstract
- High index differential algebraic equations (DAEs) are ordinary differential equations (ODEs) with constraints and arise frequently from many mathematical models of physical phenomenons and engineering fields. In this paper, we generalize the idea of differential elimination with Dixon resultant to polynomially nonlinear DAEs. We propose a new algorithm for index reduction of DAEs and establish the notion of differential Dixon resultant, which can provide the differential resultant of the enlarged system of original equations. To make use of structure of DAEs, variable pencil technique is given to determine the termination of differentiation. Moreover, we also provide a heuristic method for removing the extraneous factors from differential resultant. The experimentation shows that the proposed algorithm outperforms existing ones for many examples taken from the literature. (c) 2018 Elsevier Inc. All rights reserved.
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