Výsledky vyhledávání - Computationally efficient matrix inversion algorithm

Unified frameworks for high order Newton-Schulz and Richardson iterations: a computationally efficient toolkit for convergence rate improvement

Autoři: Stotsky, Alexander

Zdroj: Journal of Applied Mathematics and Computing. 60(1-2):605-623

Témata: Richardson iteration · Neumann series · High order Newton-Schulz algorithm · Least squares estimation · Harmonic regressor · Strictly Diagonally Dominant Matrix · Symmetric positive definite matrix · Ill-conditioned matrix · Polynomial preconditioning · Matrix power series factorization · Computationally efficient matrix inversion algorithm · Simultaneous calculations

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/516462
https://research.chalmers.se/publication/520750
https://link.springer.com/article/10.1007/s12190-018-01229-8

Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?

Autoři: Junqueira, Vinícius Silva Lourenco, Daniela Masuda, Yutaka a další

Zdroj: Journal of Animal Science. May2022, Vol. 100 Issue 5, p1-11. 11p.

Témata: Chromosome inversions, Algorithms, Eigenvalues, Sparse matrices, Phenotypes

Recursive versus nonrecursive Richardson algorithms: systematic overview, unified frameworks and application to electric grid power quality monitoring

Autoři: Stotsky, Alexander, 1960

Zdroj: Automatika. 63(2):328-337

Témata: Newton-Schulz matrix inversion algorithms, Richardson algorithms, power quality monitoring

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/528911
https://research.chalmers.se/publication/528911/file/528911_Fulltext.pdf

On the Efficient Implementation of Sparse Bayesian Learning-Based STAP Algorithms.

Autoři: Liu, Kun Wang, Tong Wu, Jianxin a další

Zdroj: Remote Sensing. Aug2022, Vol. 14 Issue 16, p3931-3931. 25p.

Témata: *COVARIANCE matrices, *MATRIX inversion, *ALGORITHMS, *FACTORIZATION, *DEGREES of freedom, *HERMITIAN forms

Convergence Rate Improvement of Richardson and Newton-Schulz Iterations

Autoři: Stotsky, Alexander, 1960

Témata: Tool-Kit for Matrix Power Series Factorization, Efficient Parallel Iterative Solvers, Computationally Efficient High Order Newton-Schulz and Richardson Algorithms, Convergence Acceleration of Richardson Iteration, Simultaneous Calculations, Least Squares

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/518722
https://research.chalmers.se/publication/518722/file/518722_Fulltext.pdf

Efficient energy-preserving finite difference schemes for the Klein-Gordon-Schrödinger equations.

Autoři: Almushaira, Mustafa Jing, Yan-Fei

Zdroj: Computers & Mathematics with Applications. Nov2023, Vol. 149, p150-170. 21p.

Témata: *MATRIX inversion, *EQUATIONS, *CONSERVATION laws (Physics), *LINEAR systems, *NONLINEAR systems

Sample and Computationally Efficient Stochastic Kriging in High Dimensions.

Autoři: Ding, Liang Zhang, Xiaowei

Zdroj: Operations Research. Mar/Apr2024, Vol. 72 Issue 2, p660-683. 24p.

Témata: KRIGING, COVARIANCE matrices, COMPUTATIONAL complexity, EXPERIMENTAL design, MATRIX inversion

Geografický termín: HONG Kong (China)

Randomized Gauss–Seidel iterative algorithms for Extreme Learning Machines.

Autoři: Subramani, Chinnamuthu Jagannath, Ravi Prasad K. Kuppili, Venkatanareshbabu

Zdroj: Physica A. May2025, Vol. 666, pN.PAG-N.PAG. 1p.

Témata: *EXTREME learning machines, *MATRIX inversion, *MACHINE learning, *LEAST squares, *LINEAR systems, *FEEDFORWARD neural networks

Computationally efficient variational Bayesian method for PAPR reduction in multiuser MIMO‐OFDM systems.

Autoři: Singh, Davinder Sarin, Rakesh Kumar

Zdroj: ETRI Journal. Jun2019, Vol. 41 Issue 3, p298-307. 10p.

Témata: Multiuser computer systems, Matrix inversion, Prior learning, Multiplexing

A fast implicit difference scheme for solving high-dimensional time-space fractional nonlinear Schrödinger equation.

Autoři: Mustafa, Almushaira¹ (AUTHOR) mstf1985@uestc.edu.cn

Zdroj: International Journal of Computer Mathematics. Jul2023, Vol. 100 Issue 7, p1419-1438. 20p.

Témata: Nonlinear Schrödinger equation, Caputo fractional derivatives, Matrix inversion, Finite differences, Transfer matrix, Free convection, Schrödinger equation

Computationally efficient methods for large-scale atmospheric inverse modeling.

Autoři: Cho, Taewon Chung, Julianne Miller, Scot M. a další

Zdroj: Geoscientific Model Development. 2022, Vol. 15 Issue 14, p5547-5565. 19p.

Témata: *ATMOSPHERIC models, *EMISSIONS (Air pollution), *SURFACE of the earth, *ATMOSPHERE, *INVERSE problems, *MATRIX inversion

Korporace: UNITED States. National Aeronautics & Space Administration

Fast three-dimensional inversion of magnetotelluric data based on L-BFGS optimization.

Autoři: Bai, Ningbo Zhou, Jiancheng Hu, Xiangyun a další

Zdroj: Journal of Applied Geophysics. Nov2025, Vol. 242, pN.PAG-N.PAG. 1p.

Témata: *MAGNETOTELLURIC prospecting, *OPTIMIZATION algorithms, *PREDICTION models, *FINITE element method, *THREE-dimensional imaging, *MATHEMATICAL programming, *SENSITIVITY analysis

Computationally Efficient Sparse Aperture ISAR Autofocusing and Imaging Based on Fast ADMM.

Autoři: Zhang, Shuanghui Liu, Yongxiang Li, Xiang

Zdroj: IEEE Transactions on Geoscience & Remote Sensing. Dec2020, Vol. 58 Issue 12, p8751-8765. 15p.

Témata: *INVERSE synthetic aperture radar, *IMAGING systems, *SYNTHETIC aperture radar, *MATRIX inversion, *INVERSE problems

Framework for Segmented threshold [formula omitted] gradient approximation based network for sparse signal recovery.

Autoři: V., Vivekanand Mishra, Deepak

Zdroj: Neural Networks. May2023, Vol. 162, p425-442. 18p.

Témata: *MATRIX inversion, *SPARSE matrices, *SIGNAL reconstruction, *THRESHOLDING algorithms, *POLYNOMIAL approximation

An Adaptive Low Computational Cost Alternating Direction Method of Multiplier for RELM Large-Scale Distributed Optimization.

Autoři: Wang, Ke Huo, Shanshan Liu, Banteng a další

Zdroj: Mathematics (2227-7390). Jan2024, Vol. 12 Issue 1, p43. 20p.

Témata: *QUASI-Newton methods, *MATRIX inversion, *MACHINE learning, *COST, *CURVATURE

Subspace-based noise covariance estimation for Kalman filter in virtual sensing applications.

Autoři: Greś, Szymon Döhler, Michael Dertimanis, Vasilis K. a další

Zdroj: Mechanical Systems & Signal Processing. Jan2025, Vol. 222, pN.PAG-N.PAG. 1p.

Témata: *OPTIMIZATION algorithms, *MATRIX inversion, *LINEAR systems, *STRUCTURAL models, *NOISE, *KALMAN filtering

Frequency selective fading channel estimation in OFDM systems using KL expansion

Autoři: Şenol, Habib Çırpan, Hakan Ali Panayırcı, Erdal

Témata: Algorithms, Bayes methods, Channel estimation, Channel estimation algorithm, Channel estimator, Channel estimation algorithms, Computational loads, Computationally efficient, Correlation, Correlation mismatch, Estimation, Estimation algorithm, Expansion, Fading, Fading channels, Fast fading, Frequency selective fading channel estimation, Frequency selective fading, Improving performance, KL series expansion, Least mean squares methods, Linear expansion, Linear expansions, Linear minimum mean square errors, Linear MMSE, Matrix inversions, Minimum mean square error, OFDM, OFDM modulation, OFDM systems

Popis souboru: application/pdf

Relation: 13th European Signal Processing Conference, EUSIPCO 2005; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/11729/2022; N/A

Dostupnost: https://hdl.handle.net/11729/2022

Efficient Iterative Solvers in the Least Squares Method

Autoři: Stotsky, Alexander

Zdroj: Ifac Papersonline. 53(2):883-888

Témata: Computer and Information Sciences, Data- och informationsvetenskap (Datateknik), Least Squares Estimation, Power Series Factorization Tool-Kit, Computationally Efficient High Order Newton-Schulz Algorithm, Simultaneous Calculations, Convergence Acceleration of Richardson, Iteration, generalized inverses, convergence, Automation & Control Systems

Přístupová URL adresa: https://gup.ub.gu.se/publication/306434

Wideband MIMO Radar Transmit Beampattern Synthesis via Majorization–Minimization.

Autoři: Huang, Zhongrui Tang, Bo Wang, Hai a další

Zdroj: Circuits, Systems & Signal Processing. Nov2021, Vol. 40 Issue 11, p5594-5615. 22p.

Témata: *MIMO radar, *MATRIX inversion, *ALGORITHMS, *RADAR

Computationally efficient multiuser and MIMO detection based on dichotomous coordinate descent iterations

Autoři: Quan, Zhi Zakharov, Yuriy

Přispěvatelé: Quan, Zhi Zakharov, Yuriy

Témata: 621.382

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507569