Abstract:For many systems of differential equations modeling problems in science and engineering, there are natural splittings of the right hand side into two parts, one non-stiff or mildly stiff, and the other one stiff. For such systems implicit-explicit (IMEX) integration combines an explicit scheme for the non-stiff part with an implicit scheme for the stiff part. In a recent series of papers two of the authors (Sandu and Zhang) have developed IMEX GLMs, a family of implicit-explicit schemes based on general linear… Show more
“…, r, of the stability function p(w, z 0 , z 1 ) are inside of the unit circle. In this paper we will be mainly interested in IMEX schemes which are A-stable with respect to the implicit part z 1 ∈ C. To investigate such methods we consider, similarly as in [7,14,28], the sets…”
Section: Absolute Stability Of the Imex Methodsmentioning
For many systems of differential equations modeling problems in science and engineering, there are often natural splittings of the right hand side into two parts, one of which is non-stiff or mildly stiff, and the other part is stiff. Such systems can be efficiently treated by a class of implicit-explicit (IMEX) diagonally implicit multistage integration methods (DIMSIMs), where the stiff part is integrated by an implicit formula, and the non-stiff part is integrated by an explicit formula. We will construct methods where the explicit part has strong stability preserving (SSP) property, and the implicit part of the method is A-, or L-stable. We will also investigate stability of these methods when the implicit and explicit parts interact with each other. To be more precise, we will monitor the size of the region of absolute stability of the IMEX scheme, assuming that the implicit part of the method is A-, or L-stable. Finally we furnish examples of SSP IMEX DIMSIMs up to the order four with good stability properties.
“…, r, of the stability function p(w, z 0 , z 1 ) are inside of the unit circle. In this paper we will be mainly interested in IMEX schemes which are A-stable with respect to the implicit part z 1 ∈ C. To investigate such methods we consider, similarly as in [7,14,28], the sets…”
Section: Absolute Stability Of the Imex Methodsmentioning
For many systems of differential equations modeling problems in science and engineering, there are often natural splittings of the right hand side into two parts, one of which is non-stiff or mildly stiff, and the other part is stiff. Such systems can be efficiently treated by a class of implicit-explicit (IMEX) diagonally implicit multistage integration methods (DIMSIMs), where the stiff part is integrated by an implicit formula, and the non-stiff part is integrated by an explicit formula. We will construct methods where the explicit part has strong stability preserving (SSP) property, and the implicit part of the method is A-, or L-stable. We will also investigate stability of these methods when the implicit and explicit parts interact with each other. To be more precise, we will monitor the size of the region of absolute stability of the IMEX scheme, assuming that the implicit part of the method is A-, or L-stable. Finally we furnish examples of SSP IMEX DIMSIMs up to the order four with good stability properties.
“…with the stability matrix M (z 0 , 0) = (I − z 0 RS 2 ) −1 (P + z 0 Q + z 0 RS 1 ). Efficient numerical algorithms to compute S α and S E are extensively described in [5,16]. Since S α ⊂ S E , the goal is to construct IMEX-Peer methods for which S E is large and S E \S α is as small as possible for angles α that are close to 90 • .…”
Section: Stability Of Imex-peer Methodsmentioning
confidence: 99%
“…This idea was first used by Crouzeix [6] with linear multi-step methods of BDF type. Recently, Cardone, Jackiewicz, Sandu and Zhang [5] applied the extrapolation approach to diagonally implicit multistage integration methods and Lang and Hundsdorfer [16] to implicit Peer methods constructed by Beck, Weiner, Podhaisky and Schmitt [1]. IMEX-Peer methods are competitive alternatives to classic IMEX methods for large stiff problems.…”
In this paper, we extend the implicit-explicit (IMEX) methods of Peer type recently developed in [Lang, Hundsdorfer, J. Comp. Phys., 337:203-215, 2017] to a broader class of two-step methods that allow the construction of superconvergent IMEX-Peer methods with A-stable implicit part. IMEX schemes combine the necessary stability of implicit and low computational costs of explicit methods to efficiently solve systems of ordinary differential equations with both stiff and non-stiff parts included in the source term. To construct superconvergent IMEX-Peer methods with favourable stability properties, we derive necessary and sufficient conditions on the coefficient matrices and apply an extrapolation approach based on already computed stage values. Optimised super-convergent IMEX-Peer methods of order s + 1 for s = 2, 3, 4 stages are given as result of a search algorithm carefully designed to balance the size of the stability regions and the extrapolation errors. Numerical experiments and a comparison to other IMEX-Peer methods are included.
“…Such high order and stage order methods with some desirable stability properties (large regions of absolute stability for explicit methods, A-, L-, and algebraic stability for implicit methods) were investigated in a series of papers [29,56,30,[16][17][18][19][20][21][22][23][24][25][26][27]33,34,[57][58][59] and the monograph [3]. In the next section we will derive the general order conditions for GLMs (1.5) without restrictions on stage order (except stage preconsistency and stage consistency conditions (3.11) and (3.12)) using the approach proposed by Albrecht [60][61][62][63][64] in the context of RK, composite and linear cyclic methods, and generalized by Jackiewicz and Tracogna [39,40] and Tracogna [43], to TSRK methods for ODEs, by Jackiewicz and Vermiglio [65] to general linear methods with external stages of different orders, and by Garrappa [66] to some classes of Runge-Kutta methods for Volterra integral equations with weakly singular kernels.…”
Section: Local Discretization Errors Of Glmsmentioning
We describe the derivation of order conditions, without restrictions on stage order, for general linear methods for ordinary differential equations. This derivation is based on the extension of the Albrecht approach proposed in the context of Runge–Kutta and composite and linear cyclic methods. This approach was generalized by Jackiewicz and Tracogna to two-step Runge–Kutta methods, by Jackiewicz and Vermiglio to general linear methods with external stages of different orders, and by Garrappa to some classes of Runge–Kutta methods for Volterra integral equations with weakly singular kernels. This leads to general order conditions for many special cases of general linear methods such as diagonally implicit multistage integration methods, Nordsieck methods, and general linear methods with inherent Runge–Kutta stability. Exact coefficients for several low order methods with some desirable stability properties are presented for illustration
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