Search Results - Block-column iterative algorithm

Block-row and block-column iterative algorithms for solving linear matrix equation

Authors: Wenli Wang Gangrong Qu Caiqin Song et al.

Source: Computational and Applied Mathematics. 42

Block-column iterative bundle adjustment for large-scale 3D reconstruction.

Authors: Xie, Shangzuo Qu, Gangrong Wang, Wenli

Source: Journal of the Franklin Institute. Oct2025, Vol. 362 Issue 16, pN.PAG-N.PAG. 1p.

Subject Terms: *OPTIMIZATION algorithms, *ITERATIVE methods (Mathematics), *THREE-dimensional imaging, *MATHEMATICAL programming

A shift-splitting hierarchical identification iterative algorithm for solving the matrix equation AX−X‾B=C.

Authors: Bayoumi, Ahmed M. E.

Source: Advances in Continuous & Discrete Models; 5/14/2025, Vol. 2025 Issue 1, p1-15, 15p

Subject Terms: ITERATIVE methods (Mathematics), NUMERICAL analysis, ALGEBRAIC equations

A shift‐splitting Jacobi‐gradient iterative algorithm for solving the matrix equation A풱−풱‾B=C.

Authors: Bayoumi, Ahmed M. E.

Source: Optimal Control - Applications & Methods; Jul2024, Vol. 45 Issue 4, p1593-1602, 10p

Subject Terms: ALGORITHMS, EQUATIONS, MATRICES (Mathematics), MATHEMATICS

Iterative algorithm to the generalized coupled Sylvester‐transpose matrix equations with application in robust and minimum norm observer design of linear systems.

Authors: Qi, Rui Song, Caiqin

Source: Optimal Control - Applications & Methods; Sep2024, Vol. 45 Issue 5, p2008-2026, 19p

Subject Terms: SYSTEMS theory, MATRIX norms, LINEAR equations, LINEAR systems, MATRIX functions

On the convergence of nonstationary column‐oriented version of algebraic iterative methods

Authors: Mehdi Karimpour Touraj Nikazad

Source: Mathematical Methods in the Applied Sciences. 43:6131-6139

Subject Terms: 0103 physical sciences, 0101 mathematics, 01 natural sciences

Access URL: https://onlinelibrary.wiley.com/doi/10.1002/mma.6358
http://ui.adsabs.harvard.edu/abs/2020MMAS...43.6131K/abstract

Column-oriented algebraic iterative methods for nonnegative constrained least squares problems.

Authors: Nikazad, T. Karimpour, M.

Source: Numerical Algorithms. 2021, Vol. 86 Issue 3, p1265-1284. 20p.

Subject Terms: *LINEAR complementarity problem, *LEAST squares, *INVERSE problems, *TOMOGRAPHY, *TIKHONOV regularization

Algorithms for Sparse Linear Systems

Authors: Jennifer Scott Miroslav Tůma

Resource Type: eBook.

Subjects: Sparse matrices, Linear systems, Algorithms

Categories: MATHEMATICS / Numerical Analysis, COMPUTERS / Computer Science, MATHEMATICS / Algebra / Linear, MATHEMATICS / Applied

A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction.

Authors: Ramani, Sathish Fessler, Jeffrey A.

Source: IEEE Transactions on Medical Imaging; Mar2012, Vol. 31 Issue 3, p677-688, 12p

Subject Terms: X-rays, TOMOGRAPHY, IMAGE reconstruction, IMAGE quality analysis, ALGORITHMS, MATHEMATICAL optimization, IMAGE processing

ACCURATE SOLUTION OF WEIGHTED LEAST SQUARES BY ITERATIVE METHODS.

Authors: Bobrovnikova, Elene Y. Vavasis, Stephen A.

Source: SIAM Journal on Matrix Analysis & Applications; 2001, Vol. 22 Issue 4, p1153-1174, 22p

Subject Terms: LEAST squares, ITERATIVE methods (Mathematics), NUMERICAL analysis, LINEAR programming, ALGORITHMS, MATHEMATICS

A CROSSWIND BLOCK ITERATIVE METHOD FOR CONVECTION-DOMINATED PROBLEMS.

Authors: Feng Wan Jinchao Xu

Source: SIAM Journal on Scientific Computing; 1999, Vol. 21 Issue 2, p620-645, 26p

Subject Terms: ITERATIVE methods (Mathematics), ALGORITHMS, FINITE element method, FINITE differences, HEAT equation, LINEAR systems

Tree Structured QBD Markov Chains and Tree-Like QBD Processes.

Authors: Van Houdt, B. Blondia, C.

Source: Stochastic Models; Nov2003, Vol. 19 Issue 4, p467-482, 16p

Subject Terms: BIRTH & death processes (Stochastic processes), MARKOV processes, STOCHASTIC processes, ITERATIVE methods (Mathematics), ALGORITHMS

Parallel algorithms for solving linear systems with sparse triangular matrices.

Authors: Mayer, Jan¹ jan.mayer@math.uni-karlsruhe.de

Source: Computing. Nov2009, Vol. 86 Issue 4, p291-312. 22p. 9 Diagrams, 4 Charts, 1 Graph.

Subject Terms: *ALGORITHMS, *FACTORIZATION, *LINEAR systems, *BANDWIDTHS, *MATRICES (Mathematics)

Wrap-around partitioning for block bidiagonal linear systems

Authors: Markus Hegland Osborne

Source: IMA Journal of Numerical Analysis. 18:373-383

Subject Terms: wrap-around partitioning, Iterative numerical methods for linear systems, block bidiagonal linear systems, QR factorization, 0101 mathematics, 01 natural sciences, vector algorithm

File Description: application/xml

Access URL: https://academic.oup.com/imajna/article-abstract/18/3/373/742884

Statistical Analysis Of Mixture Vector Autoregressive Models.

Authors: Cavicchioli, Maddalena

Source: Scandinavian Journal of Statistics; Dec2016, Vol. 43 Issue 4, p1192-1213, 22p

Subject Terms: VECTOR autoregression model, TIME series analysis, COVARIANCE matrices, ITERATIVE methods (Mathematics), QUANTITATIVE research

A block column iteration for nonnegative matrix factorization.

Authors: Karimpour, M. Rezghi, M.

Source: Journal of Computational Science. Oct2022, Vol. 64, pN.PAG-N.PAG. 1p.

Subject Terms: Matrix decomposition, Nonnegative matrices, Columns, Data science, Problem solving

Application of supernodal sparse factorization and inversion to the estimation of (co)variance components by residual maximum likelihood.

Authors: Masuda, Y. Baba, T. Suzuki, M.

Source: Journal of Animal Breeding & Genetics. Jun2014, Vol. 131 Issue 3, p227-236. 10p.

Subjects: Estimation theory, Algorithms, Matrices (Mathematics), Genomics, Factorization

Review article: Feature tracing in radio-echo sounding products of terrestrial ice sheets and planetary bodies.

Authors: Moqadam, Hameed Eisen, Olaf

Source: Cryosphere; 2025, Vol. 19 Issue 6, p2159-2196, 38p

Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion.

Authors: Borcea, Liliana Garnier, Josselin Mamonov, Alexander V. et al.

Source: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 2, p851-880, 30p

Efficient handling of complex shift parameters in the low-rank Cholesky factor ADI method.

Authors: Benner, Peter Kürschner, Patrick Saak, Jens

Source: Numerical Algorithms; Feb2013, Vol. 62 Issue 2, p225-251, 27p

Subject Terms: LYAPUNOV functions, APPLIED mathematics, EQUATIONS, PARAMETERIZATION, LOW-rank matrices, ARITHMETIC, ALGORITHMS