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Generalized AOR methods for linear complementarity problem
Applied Mathematics and Computation, 2007The authors propose a class of generalized accelerated overrelaxation (GAOR) methods for the linear complementarity problem, whose special case reduces to generalized successive overrelaxation (GSOR) methods. Some sufficient conditions for convergence of the GAOR and GSOR methods are presented when the system matrix \(M\) is an \(H\)-matrix, \(M ...
Yaotang Li, Pingfan Dai
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Generalization of the linear algebraic method to three dimensions
Physical Review A, 1991We present a numerical method for the solution of the Lippmann-Schwinger equation for electron-molecule collisions. By performing a three-dimensional numerical quadrature, this approach avoids both a basis-set representation of the wave function and a partial-wave expansion of the scattering potential.
, Lynch, , Schneider
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Linear and non-linear stability for general linear methods
BIT, 1987Stability in a numerical method prevents the growth of the approximate solution of a differential equation for which the solution is bounded. A variety of concepts of stability have been developed. For one-leg methods, two extremes, namely A-stability and algebraic stability together with a spectrum between these extremes are equivalent.
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A Class of Explicit Exponential General Linear Methods
BIT Numerical Mathematics, 2006The paper presents a class of explicit exponential integrators for semilinear problems \(y'(t) = Ly(t) + N(t,y(t))\), where \(L\) is a sectorial linear operator and \(N\) a smooth nonlinear map. This abstract framework includes semilinear parabolic initial-boundary value problems.
Ostermann, Alexander. +2 more
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Variable order and stepsize in general linear methods
Numerical Algorithms, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saghir Ahmad +2 more
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Trajectories generation under constraints by linearization method
Computer Methods in Applied Mechanics and Engineering, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rouff, Marc, Verdier, Matthieu
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General linear methods for y′′ = f (y (t))
Numerical Algorithms, 2012In this paper we consider the family of General Linear Methods (GLMs) for the numerical solution of special second order Ordinary Differential Equations (ODEs) of the type y???=?f(y(t)), with the aim to provide a unifying approach for the analysis of the properties of consistency, zero-stability and convergence.
Raffaele D'Ambrosio +2 more
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A Generalization of Linear Multistep Methods
1990A generalization of the methods that are currently available to solve systems of ordinary differential equations is made. This generalization is made by constructing linear multistep methods from an arbitrary set of monotone interpolating and approximating functions. Local truncation error estimates as well as stability analysis is given. Specifically,
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Goodness‐of‐Fit Methods for Generalized Linear Mixed Models
Biometrics, 2005SummaryWe develop graphical and numerical methods for checking the adequacy of generalized linear mixed models (GLMMs). These methods are based on the cumulative sums of residuals over covariates or predicted values of the response variable. Under the assumed model, the asymptotic distributions of these stochastic processes can be approximated by ...
Pan, Zhiying, Lin, D. Y.
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General Linear Methods for Stiff Differential Equations
BIT Numerical Mathematics, 2001A general class of numerical methods for stiff initial value problems that contains both the linear multistep and Runge-Kutta methods is considered. The aim of the author is to obtain particular methods that combine the low computational cost shared by the standard backward differential formula (BDF) methods of the class of multistep methods with the ...
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