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Conditional Spectral Methods

SSRN Electronic Journal, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bandi, Federico M., Su, Yinan
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Spectral Methods

2006
Since the publication of "Spectral Methods in Fluid Dynamics" 1988, spectral methods have become firmly established as a mainstream tool for scientific and engineering computation. The authors of that book have incorporated into this new edition the many improvements in the algorithms and the theory of spectral methods that have been made since then ...
C. Canuto   +3 more
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Spectral Methods

Abstract In this chapter we give a brief introduction to the numerical integration of nonlinear waves using spectral methods. By no means do we intend for this chapter to be comprehensive; rather, it is designed to give you a flavor of what is at the core of spectral methods.
R. Carretero-González   +2 more
openaire   +2 more sources

Spectral Scaling BFGS Method

Journal of Optimization Theory and Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, W. Y., Li, D. H.
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Preconditioned Spectral Gradient Method

Numerical Algorithms, 2002
Modifications of the spectral gradient method are presented, which globalize the method and present strategies to apply preconditioning techniques. The condition of uniform positive definiteness of the preconditioning matrices is replaced with mild conditions on the search directions.
Luengo, F.   +3 more
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Advanced spectral-analysis methods

Proceedings of the International School of Physics “Enrico Fermi”, 1997
The purpose of time-series analysis is to detect basic properties of the system that engenders a time series. The hope of predicting the system's future evolution is closely related to the possibility of such detection. The most easily predictable components of a system's evolution are the regular, deterministic ones; hence we look for trends and ...
Ghil M., TARICCO, Carla
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