2002
DOI: 10.1080/104077902753541005
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The Time Dimension and a Unified Mathematical Framework for First-Order Parabolic Systems

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Cited by 13 publications
(12 citation statements)
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“…However, there exists a mapping relation between the time discontinuous operators to the corresponding Type 2 algorithm just as in the time continuous case. Along the same lines, it has been shown that the higher order methods such as the Runge-Kutta integration operators which also pertain to the classification of the Type 3 k q are equivalent to the integration operators emanating from the generalized weighted residual approach which are of the Type 3 k q since they both have the identical parent Type 2 k (p, q) algorithm [53,55]. The LMS methods are of the lowest order (a maximum of second-order time accuracy with unconditional stable feature) in this Type 3 k q classification with a single system single solve algorithmic structure; all the other higher-order of accuracy methods also pertain to the Type 3 k q classification and naturally involve more than a single solution step or more than a single system size as described earlier based on the relation of k and q regardless of the method pertaining to the Type 3 k q classification; however, this classification contains algorithmic structure of matrices with maximum power of only one.…”
Section: The Unified Theory Underlying Computational Algorithms For Tmentioning
confidence: 97%
See 1 more Smart Citation
“…However, there exists a mapping relation between the time discontinuous operators to the corresponding Type 2 algorithm just as in the time continuous case. Along the same lines, it has been shown that the higher order methods such as the Runge-Kutta integration operators which also pertain to the classification of the Type 3 k q are equivalent to the integration operators emanating from the generalized weighted residual approach which are of the Type 3 k q since they both have the identical parent Type 2 k (p, q) algorithm [53,55]. The LMS methods are of the lowest order (a maximum of second-order time accuracy with unconditional stable feature) in this Type 3 k q classification with a single system single solve algorithmic structure; all the other higher-order of accuracy methods also pertain to the Type 3 k q classification and naturally involve more than a single solution step or more than a single system size as described earlier based on the relation of k and q regardless of the method pertaining to the Type 3 k q classification; however, this classification contains algorithmic structure of matrices with maximum power of only one.…”
Section: The Unified Theory Underlying Computational Algorithms For Tmentioning
confidence: 97%
“…A variety of existing algorithms in the literature pertain to the Type 3 k q classification where it is computationally easy to implement, and to-date, are mostly being perceived and/or are considered as unique and/or unrelated; however, their novelty (if any) and/or associated relationships now can be clearly understood through their identical parent Type 2 k (p, q) algorithm. For example, time discontinuous integration operators are being considered as a unique class of time operators [50][51][52] although they pertain to the classification of the Type 3 k q , however, it has been shown that these time discontinuous integration operators have equivalence to the time continuous integration operators which also pertain to the same classification of the Type 3 k q since they both have the identical parent Type 2 k (p, q) algorithm [53,54]. It is to be noted that in the context of the Type 1 and Type 2 classification, the notion of time discontinuity is not meaningful.…”
Section: The Unified Theory Underlying Computational Algorithms For Tmentioning
confidence: 98%
“…For example, the LMS methods [7], the Tarnow-Simo algorithm [16], the parallel sub-stepping algorithm [17], and the class of algorithms in References [18][19][20] belong to this classification. The Runge-Kutta methods that are customarily implemented with various stages in the solution process also pertain to this design space of the Type 3 k q classification of algorithms [4,21], although, they emanate from the design space of the Type 2 classification. One of the main results in Reference [4], is the spectral equivalence relationship that has been established between the design space of the Type 2 k (p, q) classification of algorithms and the design space of the Type 3 k q classification of algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…The above Equation (3) serves as the starting point for many of the approaches in the literature for deriving time integration algorithms relevant to not only the particular class of linear multistep methods (LMS) [1][2][3][4][5], but also various classes of high-order methods [5]. However, there still exist some fundamental drawbacks that have not been addressed to-date as discussed subsequently.…”
Section: Introductionmentioning
confidence: 99%
“…However, there still exist some fundamental drawbacks that have not been addressed to-date as discussed subsequently. Several of these can be indeed circumvented and therein avenues provided for designing new computational algorithms via recent developments described in References [2][3][4][5], and, the theoretical framework in References [2][3][4][5] seeks to fundamentally explain the underlying characteristics of various existing methods that have been derived from di erent viewpoints. Historically, in the literature to-date, various approaches such as ÿnite di erence approximations for the time derivatives, variational based approaches, weighted residuals and the like have been used to deriving various types of time integration methods associated with the class of LMS methods and various other classes of high-order methods such as Runge-Kutta methods, etc.…”
Section: Introductionmentioning
confidence: 99%