Results 21 to 30 of about 4,525,854 (182)
Some efficient Nordsieck integration methods for IVPs [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2018 In this paper, in continuation of the construction of efficient numerical methods for stiff IVPs, we construct type two Nordsieck second derivative general linear methods with order p = s, where s is the number of internal stages, and stage order q = p ...
N. Barghi Oskouie, A. Abdi, G. Hojjati
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Construction of Nordsieck Second Derivative General Linear Methods with Inherent Quadratic Stability
Mathematical Modelling and Analysis, 2017 This paper describes the construction of second derivative general linear methods in Nordsieck form with stability properties determined by quadratic stability functions. This is achieved by imposing the so–called inherent quadratic stability conditions.
Akram Movahedinejad +2 more
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Genotype Selection for Grain Yield of Sorghum through Generalized Linear Mixed Model
Agronomy, 2023 The classical model only provides a correct analysis if all the effects are fixed. For experiments that include fixed and random effects, the general linear mixed model is appropriate for handling the non-normal distributed response variables. The aim of
Mulugeta Tesfa +4 more
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Blended General Linear Methods based on Generalized BDF [PDF]
AIP Conference Proceedings, 2008 General Linear Methods were introduced in order to encompass a large family of numerical methods for the solution of ODE‐IVPs, ranging from LMF to RK formulae. In so doing, it is possible to obtain methods able to overcome typical drawbacks of the previous classes of methods. For example, stability limitations of LMF and order reduction for RK methods.
BRUGNANO, LUIGI, C. Magherini
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Extrapolation-based implicit-explicit general linear methods
, 2013 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)
Cardone, Angelamaria +3 more
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Journal of Inequalities and Applications, 2009 By using the methods of linear algebra and matrix inequality theory, we obtain the characterization of admissible estimators in the general multivariate linear model with respect to inequality restricted parameter set.
Shangli Zhang, Gang Liu, Wenhao Gui
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, 2018 This paper concerns with the developing the most general schemes so-called Fuzzy General Linear Methods (FGLM) for solving fuzzy differential equations. The general linear methods (GLM) for ordinary differential equations are the middle state of two extreme extensions (linear multistep and Runge-Kutta methods) of the one step Euler method.
Farzi, Javad, Moradi, Afsaneh
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Order conditions for General Linear Nyström methods
Numerical Algorithms, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D'AMBROSIO, RAFFAELE +2 more
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Acta Numerica, 1996 General linear methods, as multistage multivalue methods, are the natural generalizations of linear multistep and Runge-Kutta methods. This survey contains a discussion of the traditional methods and a motivation for the general linear type of generalization.
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Convergence on Gauss-Seidel iterative methods for linear systems with general H-matrices
, 2014 It is well known that as a famous type of iterative methods in numerical linear algebra, Gauss-Seidel iterative methods are convergent for linear systems with strictly or irreducibly diagonally dominant matrices, invertible $H-$matrices (generalized ...
Luo, Shuanghua +3 more
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