Search Results - Accelerated Jacobi gradient based iterative algorithm

Iterative algorithms for discrete-time periodic Sylvester matrix equations and its application in antilinear periodic system by Wang, Wenli, Song, Caiqin

“…) algorithm and the accelerated Jacobi gradient based iterative (AJGI) algorithm are proposed…”
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Iterative algorithm to the generalized coupled Sylvester‐transpose matrix equations with application in robust and minimum norm observer design of linear systems by Qi, Rui, Song, Caiqin

“… Based on the Jacobi iterative algorithm, the full‐row rank accelerated Jacobi gradient based iterative (RRAJGI…”
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An Accelerated Jacobi-Gradient Iterative Algorithm to Solve the Matrix Equation AZ-Z¯B=C by Bayoumi, Ahmed M. E.

“…In this paper, we present an accelerated Jacobi-gradient-based iterative AJGI algorithm to solve the matrix equation A Z - Z ¯ B…”
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Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations by Focassio, Bruno, Domina, Michelangelo, Patil, Urvesh, Fazzio, Adalberto, Sanvito, Stefano

“… We develop a grid-centred structural representation, based on Jacobi and Legendre polynomials combined with a linear regression, to accurately learn the converged DFT charge density…”
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The parameterized accelerated iteration method for solving the matrix equation AXB=C by Tian, Zhaolu, Duan, Xuefeng, Wu, Nian-Ci, Liu, Zhongyun

“… Furthermore, for some certain cases, the optimal parameters can be determined, and it is demonstrated that the PAI method is more efficient than the gradient-based iteration (GBI) method (Ding et al. Appl. Math. Comput. 197 , 41–50 2008…”
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hcaPCG: A Heterogeneous and communication-avoid PCG with Jacobi preconditioner on SW26010-Pro architecture by Tian, Min, Liu, Yue, Wang, Li, Chen, Yanyan, Liu, Qi, Pan, Jingshan

“…Due to its efficiency and versatility, the preconditioned conjugate gradient algorithm has long been a staple in the realm of iterative linear system solvers…”
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GPU Accelerated Matrix Solution Using Novel Preconditioner for Three Dimensional Laguerre-FDTD Method by Wang, Yifan, Guo, Yiliang, Corsello, Joshua, Swaminathan, Madhavan

“… In this work, we demonstrate an innovative approach to replace direct matrix solver with an iterative algorithm for the Laguerre-FDTD method…”
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Several accelerated gradient-based iteration methods for solving $$AXB=C$$ with application to tensor surface fitting by Tian, Zhaolu, Wu, Nian-Ci, Zhou, Yang, Liu, Zhongyun, Liu, Peihan

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Fast alternating linearization methods for minimizing the sum of two convex functions by Goldfarb, Donald, Ma, Shiqian, Scheinberg, Katya

“…We present in this paper alternating linearization algorithms based on an alternating direction augmented Lagrangian approach for minimizing the sum of two convex functions…”
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Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT) by Wang, Guanhua, Fessler, Jeffrey A.

“… Commonly used NUFFT algorithms contain frequency domain interpolation, which is not differentiable with respect to the sampling pattern, complicating the use of gradient methods…”
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Modulus-based synchronous multisplitting iteration methods for linear complementarity problems by Bai, Zhong-Zhi, Zhang, Li-Li

“…‐point equations, we construct modulus‐based synchronous multisplitting iteration methods based on multiple splittings of the system matrix…”
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Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems by Bergamaschi, Luca, Martínez, Ángeles, Pini, Giorgio

“…A parallel algorithm based on the multidimensional minimization of the Rayleigh quotient is proposed to evaluate the leftmost eigenpairs of the generalized symmetric positive definite eigenproblem…”
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Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions by Goldfarb, Donald, Ma, Shiqian, Scheinberg, Katya

“…We present in this paper first-order alternating linearization algorithms based on an alternating direction augmented Lagrangian approach for minimizing the sum of two convex functions…”
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Mapping sparse matrix scientific applications onto FPGA-augmented reconfigurable supercomputers by Morris, Gerald R

“…) compilers that facilitate development of FPGA-based kernels using HLL-based programming rather than HDL-based hardware design…”
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