Results 91 to 100 of about 781,590 (289)
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen +3 more
wiley +1 more source
A Projection Strategy for Improving the Preconditioner in the LOBPCG
The computational methods for solving the generalized eigenvalue problems of real symmetric matrices are crucial in fields such as structural dynamics analysis.
Ma Tailai +3 more
doaj +1 more source
A flexible, hexagonally packed artificial dielectric providing a wide range of effective permittivities (εr ≈ 30–1400) without lumped elements was developed for clinical and ultra‐high‐field MRI. Combined with modular passive‐dipole arrays, the system enables adaptable RF field shaping through electric‐ and magnetic‐dipole tuning.
Santosh Kumar Maurya +2 more
wiley +1 more source
Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao +6 more
wiley +1 more source
Domain decomposition PCG methods for serial and parallel processing
In this paper two domain decomposition formulations are presented in conjunction with the preconditioned conjugate gradient method (PCG) for the solution of large-scale problems in solid and structural mechanics.
M. Papadrakakis, S. Bitzarakis
doaj
An M-step preconditioned conjugate gradient method for parallel computation [PDF]
This paper describes a preconditioned conjugate gradient method that can be effectively implemented on both vector machines and parallel arrays to solve sparse symmetric and positive definite systems of linear equations.
Adams, L.
core
Preconditioned conjugate gradient methods for the incompressible Navier Stokes equations [PDF]
PCG methods for N-S equations 2 Abstract. A robust technique for solving primitive-variable formulations of the incompressible Navier-Stokes equations is to use Newton iteration for the fully-implicit nonlinear equations.
E. F. D’azevedo +5 more
core +1 more source
A glutathione and ultrasound dual‐responsive cerasome achieves sequential co‐delivery of gemcitabine and BMS1166 in tumors. Chemotherapy priming followed by on‐demand PD‐L1 blockade synergistically amplifies anti‐tumor immunity, inhibiting primary tumor growth, distant metastasis and inducing durable immune memory.
Suhui Sun +9 more
wiley +1 more source
On single-step HSS iterative method with circulant preconditioner for fractional diffusion equations
By exploiting Toeplitz-like structure and non-Hermitian dense property of the discrete coefficient matrix, a new double-layer iterative method called SHSS-PCG method is employed to solve the linear systems originating from the implicit finite difference ...
Mu-Zheng Zhu, Guo-Feng Zhang, Ya-E Qi
doaj +1 more source
Nonsymmetric Preconditioning for Conjugate Gradient and Steepest Descent Methods 1
AbstractWe analyze a possibility of turning off post-smoothing (relaxation) in geometric multigrid when used as a preconditioner in preconditioned conjugate gradient (PCG) linear and eigenvalue solvers for the 3D Laplacian. The geometric Semicoarsening Multigrid (SMG) method is provided by the hypre parallel software package.
Henricus Bouwmeester +2 more
openaire +1 more source

