Results 81 to 90 of about 78,319 (219)

Nonlinear Dynamic Inverse Solution of the Diffusion Problem Based on Krylov Subspace Methods with Spatiotemporal Constraints

Computer Sciences & Mathematics Forum
In this work, we propose a nonlinear dynamic inverse solution to the diffusion problem based on Krylov Subspace Methods with spatiotemporal constraints. The proposed approach is applied by considering, as a forward problem, a 1D diffusion problem with a ...
Luis Fernando Alvarez-Velasquez, Eduardo Giraldo   +1 more
doaj   +1 more source

Kω ? Open-source library for the shifted Krylov subspace method of the form (zI?H)x=b [PDF]

We develop Kω, an open-source linear algebra library for the shifted Krylov subspace methods. The methods solve a set of shifted linear equations (zkI−H)x(k)=b(k=0,1,2,…) for a given matrix H and a vector b, simultaneously.
26508, Yoshimi, Kazuyoshi, 26507, Misawa, Takahiro, Kawamura, Mitsuaki, 26509, Motoyama, Yuichi, ホシ, タケオ, Hoshi, Takeo, 80272384, 星, 健夫, 26510, 26504, 26503, 26506, 26505, Yamaji, Youhei, Kawashima, Naoki, 100000561, Todo, Synge, Sogabe, Tomohiro, 813   +21 more
core  

Krylov subspace approximations for the exponential Euler method: Error estimates and the harmonic Ritz approximant [PDF]

, 2011
We study Krylov subspace methods for approximating the matrix-function vector product φ(tA)b where φ(z) = [exp(z) - 1]/z. This product arises in the numerical integration of large stiff systems of differential equations by the Exponential Euler Method ...
Turner, Ian, Ilic, Milos, Carr, Elliot Joseph   +2 more
core   +1 more source

Shortcuts to Adiabaticity in Krylov Space

Physical Review X
Shortcuts to adiabaticity provide fast protocols for quantum state preparation in which the use of auxiliary counterdiabatic controls circumvents the requirement of slow driving in adiabatic strategies.
Kazutaka Takahashi, Adolfo del Campo
doaj   +1 more source

Stochastic estimation of nuclear level density in the nuclear shell model: An application to parity-dependent level density in 58Ni

Physics Letters B, 2016
We introduce a novel method to obtain level densities in large-scale shell-model calculations. Our method is a stochastic estimation of eigenvalue count based on a shifted Krylov-subspace method, which enables us to obtain level densities of huge ...
Noritaka Shimizu, Yutaka Utsuno, Yasunori Futamura, Tetsuya Sakurai, Takahiro Mizusaki, Takaharu Otsuka   +5 more
doaj   +1 more source

A Flexible Coding Scheme Based on Block Krylov Subspace Approximation for Light Field Displays with Stacked Multiplicative Layers. [PDF]

Sensors (Basel), 2021
Ravishankar J, Sharma M, Gopalakrishnan P.   +2 more
europepmc   +1 more source

Blind adaptive Krylov subspace multiuser detection

IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211), 2002
A new method for low-complexity Multiuser Detection (MUD)based in the Fast Subspace Decomposition (FSD) is proposed. The use of FSD allows the estimation of the number of users along with the multiuser detection on line. This leads to a fast multiuser estimation-detection scheme with ultra-low complexity.
Antonio J. Caamaño, Daniel Segovia-Vargas, Javier Ramos 0001   +2 more
openaire   +2 more sources

Krylov subspace iterative techniques: on the detection of brain activity with electrical impedance tomography

, 2002
Krylov subspace iterative techniques: on ...
William R. B. Lionheart, N. Polydorides, Hugh Mccann, W. R. B. Lionheart, Nick Polydorides, H. Mccann, Mims Eprint   +6 more
core  

Flexible inner-outer Krylov subspace methods

, 2002
Flexible Krylov methods refers to a class of methods which accept preconditioning that can change from one step to the next. Given a Krylov subspace method, such as CG, GMRES, QMR, etc. for the solution of a linear system Ax = b, instead of having a xed
Szyld D. B., Simoncini V.
core   +1 more source

A block Krylov subspace time-exact solution method for linear ODE systems [PDF]

, 2012
We propose a time-exact Krylov-subspace-based method for solving linear ODE (ordinary differential equation) systems of the form $y'=-Ay + g(t)$ and $y''=-Ay + g(t)$, where $y(t)$ is the unknown function. The method consists of two stages.
Bochev, Mikhail A.
core   +1 more source