Results 91 to 100 of about 65,642 (305)
In a recent paper [4], Li et al. gave a generalized successive overrelaxation (GSOR) method for the least squares problems. In this paper, the connection between the GSOR method and the preconditioned conjugate gradient (PCG) method for the normal ...
Li ZJ(李长军), Evans, DJ
core
Performance Gains in Conjugate Gradient Computation with Linearly Connected GPU Multiprocessors [PDF]
Conjugate gradient is an important iterative method used for solving least squares problems. It is compute-bound and generally involves only simple matrix computations.
Lin, Tsung-Han, Tarsa, Stephen, Kung, H.
core
Explicit conjugate gradient method with preconditioning [PDF]
summary:An algorithm of the preconditioned conjugate gradient method in which the solution of an auxiliary system is replaced with multiplication by the matrix $ M=I-\omega A $ for suitably chosen $\omega $ is ...
Křížková, Jitka +2 more
core +1 more source
The global convergence of spectral RMIL conjugate gradient method for unconstrained optimization with applications to robotic model and image recovery. [PDF]
Salihu N +4 more
europepmc +1 more source
On the basis of Space-Wise Least Square method, three numerical methods including Cholesky decomposition, pre-conditioned conjugate gradient and Open Multi-Processing parallel algorithm are applied into the determination of gravity field with satellite ...
Zhu Guangbin +4 more
doaj +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
A feed forward neural network approach for matrix computations
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN)
Al-Mudhaf, Ali F, Al-Mudhaf, A.F.
core
summary:Conjugate gradient methods are widely used for solving large-scale unconstrained optimization problems, because they do not need the storage of matrices.
Kim, Yong, Kim, Yongjin, Jong, Yunchol
core +1 more source
Estimation of undistorted images in brain echo-planar images with distortions using the conjugate gradient method with anatomical regularization. [PDF]
Kumazawa S, Yoshiura T.
europepmc +1 more source
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source

