Results 211 to 220 of about 1,354 (264)

Evaluating machine learned nuclear data precision in full core nuclear reactor Monte Carlo neutronics and computational efficiency analyses. [PDF]

Sci Rep
Hashemi A, Macián-Juan R, Ohlerich M.
europepmc   +1 more source

Association of SARS-COV-2 Real-Time PCR Cycle Threshold (Ct) Values with the Clinical and Laboratory Profiles of Confirmed COVID-19 Patients Admitted in Tertiary Infectious Disease Hospital in Manila: A Retrospective Study. [PDF]

Acta Med Philipp
Tria ES, Calayo JP, Dela Merced ZR, Duque JT, Garong CJC, Medina JRC, Dayrit GB.   +6 more
europepmc   +1 more source

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Generalized Multistep Predictor-Corrector Methods

Journal of the ACM, 1964
The order p which is obtainable with a stable k -step method in the numerical solution of y′ = f ( x , y ) is limited to p = k + 1 by the theorems of
Gragg, W., Stetter, H. J.
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Predictor-corrector implementation of EQUIP methods

AIP Conference Proceedings, 2018
In this paper we are concerned with the predictor-corrector implementation of a class of numerical integrators which can be considered as energy-conserving variants of the Gauss collocation methods.
L. Brugnano, G. Gurioli, F. Iavernaro
openaire   +3 more sources

Parallel implicit predictor corrector methods

Applied Numerical Mathematics, 2002
Development of the parallel implicit predictor corrector method for initial value problems, a parallel block method, theory, stability, error estimates, practice. Parallelization ``across the method''. Interesting choice of predictor without or with one or with two corrector steps reduces all-to-all communication essentially.
IAVERNARO, Felice, MAZZIA, Francesca
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Cyclic Composite Multistep Predictor-Corrector Methods

SIAM Journal on Numerical Analysis, 1971
Multistep predictor-corrector methods are commonly used for the numerical solution of ordinary differential equations. In its simplest form, a k-step method with accuracy of order exceeding $k+2$ is unstable. Methods such as those of Gragg and Stetter [7] and of Butcher [1] obtain high accuracy while retaining stability.
Donelson, J. III, Hansen, Eldon
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Predictor-corrector method for nonlinear complementarity problem

Acta Mathematicae Applicatae Sinica, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luo, Zhiquan, Wu, Shiquan, Ye, Yinyu
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Predictor-Corrector Smoothing Methods for Monotone LCP

Acta Mathematicae Applicatae Sinica, English Series, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Juliang, Zhang, Xiangsun, Su, Yongmei   +2 more
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Predictor–corrector Halley method for nonlinear equations

Applied Mathematics and Computation, 2007
The authors propose a two-step iterative method for the solution of the nonlinear equation \(f(x)=0\) with sufficiently smooth \(f\) and show that this method has convergence order six. In the proposed method, each step merely consists of one step with the classical second-order Newton method and a subsequent step with the classical third-order Halley ...
Noor, Khalida Inayat, Noor, Muhammad Aslam   +1 more
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Symplectic reversible integrators: Predictor–corrector methods

The Journal of Chemical Physics, 1995
A new fourth order predictor–corrector integration scheme is presented. The unique feature of the new algorithm and what distinguishes it from a Gear predictor–corrector is that the method is derived from the Trotter decomposition of a specially formulated evolution operator and as such, is both symplectic and reversible.
Glenn J. Martyna, Mark E. Tuckerman
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