Results 21 to 30 of about 281 (133)
Energies, 2020 This paper presents an analysis of the time complexity of algorithms prepared for solving heat transfer problems at nanoscale. The first algorithm uses the classic Dual-Phase-Lag model, whereas the second algorithm employs a reduced version of the model ...
Tomasz Raszkowski, Mariusz Zubert
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LeXInt: Package for exponential integrators employing Leja interpolation
SoftwareX, 2023 We present a publicly available software for exponential integrators that computes the φl(z)functions using polynomial interpolation. The interpolation method at Leja points have recently been shown to be competitive with the traditionally-used Krylov ...
Pranab J. Deka +2 more
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Krylov Subspace Acceleration of Waveform Relaxation
SIAM Journal on Numerical Analysis, 2003 In recent years, certain very old ideas of iterative algorithms traditionally used to linear algebraic problems, come back with the changed name of waveform relaxation when applied in a changed context, for example to problems of ordinary differential equations (ODEs) or partial differential equations (PDEs).
Andrew Lumsdaine, Deyun Wu
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Krylov Subspace Recycling For Matrix Functions
CoRR, 2022 22 pages, 5 ...
Liam Burke 0002 +3 more
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Solving Coupled Cluster Equations by the Newton Krylov Method
Frontiers in Chemistry, 2020 We describe using the Newton Krylov method to solve the coupled cluster equation. The method uses a Krylov iterative method to compute the Newton correction to the approximate coupled cluster amplitude.
Chao Yang +4 more
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Sampling Error Analysis in Quantum Krylov Subspace Diagonalization [PDF]
QuantumQuantum Krylov subspace diagonalization (QKSD) is an emerging method used in place of quantum phase estimation in the early fault-tolerant era, where limited quantum circuit depth is available. In contrast to the classical Krylov subspace diagonalization
Gwonhak Lee, Dongkeun Lee, Joonsuk Huh
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Reduced-Rank Adaptive Filtering Using Krylov Subspace
EURASIP Journal on Advances in Signal Processing, 2002 A unified view of several recently introduced reduced-rank adaptive filters is presented. As all considered methods use Krylov subspace for rank reduction, the approach taken in this work is inspired from Krylov subspace methods for iterative solutions ...
Burykh Sergueï, Abed-Meraim Karim
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Uzawa Algorithms for Fully Fuzzy Linear Systems
International Journal of Computational Intelligence Systems, 2016 Recently, there have been many studies on solving different kinds of fuzzy equations. In this paper, the solution of a trapezoidal fully fuzzy linear system (FFLS) is studied.
H. Zareamoghaddam +3 more
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Heat Conduction with Krylov Subspace Method Using FEniCSx
Energies, 2022 The study of heat transfer deals with the determination of the rate of heat energy transfer from one system to another driven by a temperature gradient.
Varun Kumar +3 more
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Structural Reliability Analysis Using Stochastic Finite Element Method Based on Krylov Subspace
AlgorithmsThe stochastic finite element method is an important tool for structural reliability analysis. In order to improve the calculation efficiency, a stochastic finite element method based on the Krylov subspace is proposed for the static reliability analysis
Jianyun Huang +3 more
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