Results 31 to 40 of about 1,275 (248)
A new approximate inverse preconditioner based on the Vaidya’s maximum spanning tree for matrix equation AXB = C [PDF]
We propose a new preconditioned global conjugate gradient (PGL-CG) method for the solution of matrix equation AXB = C, where A and B are sparse Stieltjes matrices. The preconditioner is based on the support graph preconditioners.
K. Rezaei, F. Rahbarnia, F. Toutounian
doaj +1 more source
The finite-element analysis is a powerful method to obtain detailed insight into the operation of any electromagnetic equipment. However, the required computational power to solve a finite-element modeled power equipment is so heavy that most Newton ...
Qingjie Xu, Peng Liu, Venkata Dinavahi
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An efficient genomic prediction method without the direct inverse of the genomic relationship matrix
GBLUP, the most widely used genomic prediction (GP) method, consumes large and increasing amounts of computational resources as the training population size increases due to the inverse of the genomic relationship matrix (GRM).
Hailan Liu, Chao Xia, Hai Lan
doaj +1 more source
Low-complexity signal detection algorithm based on preconditioned conjugate gradient method
For large-scale multiple-input multiple-output system,minimum mean square error signal detection algorithm is near-optimal but involves matrix inversion,and complexity is growing exponentially.
Hua QU +3 more
doaj +2 more sources
Ru single atoms and RuP nanoclusters are co‐anchored in N, P, and B co‐doped porous carbon nanospheres via in situ carbonization/phosphidation of a boronate polymer precursor. RuP activates water, while nearby Ru single atoms accelerate H2 formation through H* transfer. The catalyst delivers low overpotential and high durability in alkaline HER and AEM
Xiaohong Wang +13 more
wiley +1 more source
Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems
We propose a parallel preconditioner for the Newton method in the computation of the leftmost eigenpairs of large and sparse symmetric positive definite matrices.
L. Bergamaschi, A. Martínez
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We report a versatile nanoclay gel carrier platform that enhances the osteogenic efficacy of demineralized bone matrix (DBM) by integrating nanoclay‐based self‐assembly with cell‐derived exosome mimetics loaded with noggin‐targeting miR‐200c. This design amplifies BMP signaling, thereby promoting DBM‐mediated osteogenesis and offering a promising ...
Changlu Xu +7 more
wiley +1 more source
Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami +4 more
wiley +1 more source
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
The analysis and design of electromechanical devices involve the solution of large sparse linear systems, and require therefore high performance algorithms.
Daniel Marcsa, Miklos Kuczmann
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