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Strongly Regular General Linear Methods

Journal of Scientific Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. O. Olatunji, M. N. O. Ikhile
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General linear methods with projection

Applied Numerical Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Habib, Yousaf, Mustafa, Lubna
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Linear Multistep Methods as Irreducible General Linear Methods

BIT Numerical Mathematics, 2006
This paper is concerned with the topic of stability for linear multistep methods (LMM's) in relation with associated general linear methods (GLM's). The authors show how to write an LMM as a GLM and prove that if an LMM is irreducible then the corresponding GLM also is, improving in this way a procedure given by \textit{K. Burrage} and \textit{J.
Butcher, J. C., Hill, A. T.
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Strong Stability Preserving General Linear Methods

Journal of Scientific Computing, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
IZZO, GIUSEPPE, Jackiewicz, Zdzislaw
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Two-Level Linear Relaxation Method for Generalized Linear Fractional Programming

Journal of the Operations Research Society of China, 2022
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Hong-Wei Jiao, You-Lin Shang
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General linear method: a survey

Applied Numerical Mathematics, 1985
Of the various methods devised as generalizations of the classical method of Euler, two extreme approaches are typically followed. One is to generalize the Euler method through the use of multistep methods; the other is to increase the complexity of one-step methods as in the Runge- Kutta method.
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Second derivative general linear methods

Numerical Algorithms, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Okuonghae, R. I., Ikhile, M. N. O.
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Trajectories generation under constraints by linearization method

Computer Methods in Applied Mechanics and Engineering, 1998
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Rouff, Marc, Verdier, Matthieu
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The Construction of Practical General Linear Methods

BIT Numerical Mathematics, 2003
The purpose of the material is to give a framework for the derivation of diagonally implicit general linear methods possesing the property of ``inherent Runge-Kutta stability'' (IRKS). These methods are chosen in such a way that the stage order \(q\) and the order \(p\) are equal and the information passed from step to step takes the form of a ...
Wright, William Matthew.   +1 more
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Non-Parametric Methods in General Linear Models.

Journal of the Royal Statistical Society. Series A (General), 1986
Distribution theory of rank statistics: Distribution Theory of Linear Rank-Order Statistics Distribution Theory of Signed Rank Order Statistics Distribution Theory of Multivariate Linear Rank-Order Statistics Nonparametric inference in linear models: Distribution-Free Rank-Order Tests for Some Linear Hypotheses Rank-Order Estimation Theory in Some ...
A. N. Pettitt, M. L. Puri, P. K. Sen
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