Numerical Linear Algebra

Fast computational E-field dosimetry for transcranial magnetic stimulation using adaptive cross approximation and auxiliary dipole method (ACA-ADM)

Wang, D., Hasan, N. I., Dannhauer, M., Yücel, A. C., & Gomez, L. J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2022.119850 · Cited by 21

A coupled bubble plume–reservoir model for hypolimnetic oxygenation

Singleton, V. L., Rueda, F. J., & Little, J. C. (2010) · Water Resources Research · doi:10.1029/2009wr009012 · Cited by 24

Sharpness in rates of convergence for the symmetric Lanczos method

Li, R. (2009) · Mathematics of Computation · doi:10.1090/s0025-5718-09-02258-3 · Cited by 24

Robust Principal Component Pursuit via Inexact Alternating Minimization on Matrix Manifolds

Hintermüller, M., & Wu, T. (2014) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-014-0527-y · Cited by 24

Overlapping Schwarz preconditioners for isogeometric collocation methods

da Veiga, L. B., Cho, D., Pavarino, L. F., et al. (2014) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2014.05.007 · Cited by 24

Determining Autocorrelation Matrix Size and Sampling Frequency for MUSIC Algorithm

Naha, A., Samanta, A. K., Routray, A., et al. (2014) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2366638 · Cited by 24

Solving the Coupled System Improves Computational Efficiency of the Bidomain Equations

Southern, J. A., Plank, G., Vigmond, E. J., et al. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2022548 · Cited by 24

A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction

Haidar, A., Ltaief, H., Łuszczek, P., & Dongarra, J. J. (2012) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2012.13 · Cited by 26

Using cross-product matrices to compute the SVD

Jia, Z. (2006) · Numerical Algorithms · doi:10.1007/s11075-006-9022-x · Cited by 24

Multi-domain Fourier-continuation/WENO hybrid solver for conservation laws

Shahbazi, K., Albin, N., Bruno, O. P., et al. (2011) · Journal of Computational Physics · doi:10.1016/j.jcp.2011.08.024 · Cited by 24

Improving accuracy in the MPM method using a null space filter

Gritton, C., & Berzins, M. (2016) · Computational Particle Mechanics · doi:10.1007/s40571-016-0134-3 · Cited by 24

Ancilla-assisted quantum state tomography in multiqubit registers

Shukla, A., ‎Rao, ‎. ‎. ‎., & Mahesh, T. S. (2013) · Physical Review A · doi:10.1103/physreva.87.062317 · Cited by 24

Tensor-Based Large-Scale Blind System Identification Using Segmentation

Boussé, M., Debals, O., & Lathauwer, L. D. (2017) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2017.2736505 · Cited by 24

On the Convergence of Stewart's QLP Algorithm for Approximating the SVD

Huckaby, D. A., & Chan, T. F. (2003) · Numerical Algorithms · doi:10.1023/a:1024082314087 · Cited by 24

Extensions of Classical Multidimensional Scaling via Variable Reduction

Trosset, M. W. (2002) · Computational Statistics · doi:10.1007/s001800200099 · Cited by 24

Efficient sign coding and estimation of zero-quantized coefficients in embedded wavelet image codecs

Deever, A. T., & Hemami, S. S. (2003) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.811499 · Cited by 24

Analysis of the effects of a pulsed electromagnetic field on the dynamic response of electrically conductive composites

Barakati, A., & Zhupanska, O. I. (2012) · Applied Mathematical Modelling · doi:10.1016/j.apm.2012.01.033 · Cited by 23

Distributed control for large-scale systems with adaptive event-triggering

Guinaldo, M., Sánchez, J., Dormido, R., & Dormido, S. (2016) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2015.12.008 · Cited by 23

SASE: RGB-Depth Database for Human Head Pose Estimation

Lüsi, I., Escarela, S., & Anbarjafari, G. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-49409-8_26 · Cited by 23

Qualitative Insights into the Transport Properties of Hückel/Möbius (Anti)Aromatic Compounds: Application to Expanded Porphyrins

Stuyver, T., Fias, S., Geerlings, P., et al. (2018) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.8b01424 · Cited by 23

Preconditioning trace coupled 3d‐1d systems using fractional Laplacian

Kuchta, M., Mardal, K., & Mortensen, M. (2018) · Numerical Methods for Partial Differential Equations · doi:10.1002/num.22304 · Cited by 23

Least squares estimation of spatial autoregressive models for large-scale social networks

Huang, D., Lan, W., Zhang, H. H., et al. (2019) · Electronic Journal of Statistics · doi:10.1214/19-ejs1549 · Cited by 23

High-Throughput FPGA Implementation of Matrix Inversion for Control Systems

Zhang, X., Zuo, L., Li, M., et al. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.2994865 · Cited by 23

Machine learning and feature engineering for predicting pulse presence during chest compressions

Sashidhar, D., Kwok, H., Coult, J., Blackwood, J., Kudenchuk, P. J., Bhandari, S., Rea, T. D., & Kutz, J. N. (2021) · Royal Society Open Science · doi:10.1098/rsos.210566 · Cited by 22

Equation‐Free Surrogate Modeling of Geophysical Flows at the Intersection of Machine Learning and Data Assimilation

Pawar, S. A., & San, O. (2022) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2022ms003170 · Cited by 27

An improved local radial basis function method for solving small-strain elasto-plasticity

Vuga, G., Mavrič, B., & Šarler, B. (2023) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2023.116501 · Cited by 23

On the accuracy of dynamic mode decomposition in estimating instability of wave packet

Pan, C., Xue, D., & Wang, J. (2015) · Experiments in Fluids · doi:10.1007/s00348-015-2015-6 · Cited by 23

A least squares procedure for the evaluation of multiple generalized stress intensity factors at 2D multimaterial corners by BEM

Barroso, A., Graciani, E., Mantič, V., et al. (2011) · Engineering Analysis with Boundary Elements · doi:10.1016/j.enganabound.2011.09.011 · Cited by 23

Schedulability Analysis for the Dynamic Segment of FlexRay: A Generalization to Slot Multiplexing

Tanasa, B., Bordoloi, U. D., Kosuch, S., et al. (2012) · Proceedings - Real-Time Technology and Applications Symposium · doi:10.1109/rtas.2012.10 · Cited by 23

A Unified Finite-Element Solution From Zero Frequency to Microwave Frequencies for Full-Wave Modeling of Large-Scale Three-Dimensional On-Chip Interconnect Structures

Zhu, J. O., & Jiao, D. (2008) · IEEE Transactions on Advanced Packaging · doi:10.1109/tadvp.2008.924232 · Cited by 23

On the improved finite volume procedure for simulation of turbulent flows over real complex terrains

Mirkov, N., Rašuo, B., & Kenjereš, S. (2015) · Journal of Computational Physics · doi:10.1016/j.jcp.2015.02.001 · Cited by 23

Rescaling the GSVD with application to ill-posed problems

Dykes, L., Noschese, S., & Lothar Reichel, B. (2014) · Numerical Algorithms · doi:10.1007/s11075-014-9859-3 · Cited by 23

Conjugate gradient adaptive matched filter

Chen, Z., Li, H., & Rangaswamy, M. (2015) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2014.130419 · Cited by 23

Symbolic algorithms for the inverses of general k -tridiagonal matrices

Jia, J.-T., & Li, S. (2015) · Computers & Mathematics with Applications · doi:10.1016/j.camwa.2015.10.018 · Cited by 23

Quantum-inspired algorithm for estimating the permanent of positive semidefinite matrices

Chakhmakhchyan, L., Cerf, N. J., & García−Patrón, R. (2017) · Physical Review A · doi:10.1103/physreva.96.022329 · Cited by 24

Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs

Zhu, Y., Pataki, G., & Tran-Dinh, Q. (2019) · Mathematical Programming Computation · doi:10.1007/s12532-019-00164-4 · Cited by 23

Nonlinear Control of Networked Dynamical Systems

Morrison, M., & Kutz, J. N. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3032117 · Cited by 22

Maximal Free-Space Concentration of Electromagnetic Waves

Shim, H., Chung, H., & Miller, O. D. (2020) · Physical Review Applied · doi:10.1103/physrevapplied.14.014007 · Cited by 24

On the progressive iteration approximation property and alternative iterations

Carnicer, J. M., Delgado, J., & Peña, J. M. (2011) · Computer Aided Geometric Design · doi:10.1016/j.cagd.2011.09.005 · Cited by 23

A singular‐value decomposition (SVD)‐based generalized finite difference (GFD) method for close‐interaction moving boundary flow problems

Ang, S. J., Yeo, K. S., Chew, C. S., & Shu, C. (2008) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.2398 · Cited by 23

A variational method based on weighted graph states

Anders, S., Briegel, H. J., & Dür, W. (2007) · New Journal of Physics · doi:10.1088/1367-2630/9/10/361 · Cited by 28

Recent Progress and Applications in Group FFTs

Rockmore, D. N. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-2307-3_9 · Cited by 23

Application of Weeks Method for the Numerical Inversion of the Laplace Transform to the Matrix Exponential

Brio, M., Kano, P. O., & Moloney, J. V. (2005) · Communications in Mathematical Sciences · doi:10.4310/cms.2005.v3.n3.a4 · Cited by 23

An Efficient Newton-Krylov Implementation of the Constrained Runs Scheme for Initializing on a Slow Manifold

Vandekerckhove, C., Kevrekidis, I. G., & Roose, D. (2008) · Journal of Scientific Computing · doi:10.1007/s10915-008-9256-y · Cited by 23

New MIMO ARQ protocols and joint detection via sphere decoding

Samra, H., & Ding, Z. J. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2005.861781 · Cited by 23

Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach

Ignatov, D. I., Elena, N., Konstantinova, N., et al. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10554-3_5 · Cited by 22

Term structure and forward guidance as instruments of monetary policy

Magill, M. J. P., & Quinzii, M. (2013) · Economic Theory · doi:10.1007/s00199-013-0773-z · Cited by 22

Restoring highly corrupted images by impulse noise using radial basis functions interpolation

Taherkhani, F., & Jamzad, M. (2017) · IET Image Processing · doi:10.1049/iet-ipr.2016.0521 · Cited by 21

A comparison of methods for gradient field estimation on simplicial meshes

Mancinelli, C., Livesu, M., & Puppo, E. (2019) · Computers & Graphics · doi:10.1016/j.cag.2019.03.005 · Cited by 25

The invasion of de-differentiating cancer cells into hierarchical tissues

Zhou, D., Luo, Y., Dingli, D., & Traulsen, A. (2019) · bioRxiv · doi:10.1371/journal.pcbi.1007167 · Cited by 21

Efficient computation of high-order Meixner moments for large-size signals and images analysis

Daoui, A., Sayyouri, M., & Qjidaa, H. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09739-z · Cited by 22

Direct Tomography of High-Dimensional Density Matrices for General Quantum States of Photons

Zhou, Y., Zhao, J., Hay, D., McGonagle, K., Boyd, R. W., & Shi, Z. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.040402 · Cited by 22

The high-order maximum-principle-preserving integrating factor Runge-Kutta methods for nonlocal Allen-Cahn equation

Nan, C., & Song, H. (2022) · Journal of Computational Physics · doi:10.1016/j.jcp.2022.111028 · Cited by 22

Distributed control of multi-robot systems with global connectivity maintenance

Sabattini, L., Chopra, N., & Secchi, C. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6094818 · Cited by 22

A Semi-Blind Method for Localization of Underwater Acoustic Sources

Weiss, A., Arikan, T., Vishnu, H., et al. (2022) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 22

Efficient dynamical low-rank approximation for the Vlasov-Ampère-Fokker-Planck system

Coughlin, J., & Hu, J. (2022) · Journal of Computational Physics · doi:10.1016/j.jcp.2022.111590 · Cited by 22

Model-based impending lithium battery terminal voltage collapse detection via data-driven and machine learning approaches

Tameemi, A. Q., Kanesan, J., & Khairuddin, A. S. M. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111279 · Cited by 21

A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator

Zeng, Z., Liu, J., & Yuan, Y. (2024) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2024.3436610 · Cited by 26

Gain-scheduling control of port-fuel-injection processes

White, A., Choi, J., Nagamune, R., et al. (2010) · Control Engineering Practice · doi:10.1016/j.conengprac.2010.12.007 · Cited by 22

Method for time–temperature–transformation diagrams using DSC data: Linseed aliphatic epoxy resin

Restrepo‐Zapata, N. C., Osswald, T. A., & Hernandez-Ortiz, J. P. (2014) · Journal of Applied Polymer Science · doi:10.1002/app.40566 · Cited by 22

3D face recognition with the average-half-face

Harguess, J. D., Gupta, S., & Aggarwal, J. K. (2008) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2008.4761503 · Cited by 22

Reduction of Linear Subdomains for Non-Linear Electro-Quasistatic Field Simulations

Schmidthäusler, D., Schöps, S., & Clemens, M. (2013) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2013.2238905 · Cited by 22

Algorithms for projecting points onto conics

Chernov, N., & Wijewickrema, S. N. R. (2013) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2013.03.031 · Cited by 25

Flows Generating Nonlinear Eigenfunctions

Nossek, R. Z., & Gilboa, G. (2017) · Journal of Scientific Computing · doi:10.1007/s10915-017-0577-6 · Cited by 22

Heteroclinic path to spatially localized chaos in pipe flow

Budanur, N. B., & Hof, B. (2017) · Journal of Fluid Mechanics · doi:10.1017/jfm.2017.516 · Cited by 22

Matrix Completion with Queries

Ruchansky, N., Crovella, M. E., & Terzi, E. (2015) · Cited by 22

Nonlinear roll damping parameter identification using free-decay data

Sun, J., Hu, S. J., & Li, H. (2020) · Ocean Engineering · doi:10.1016/j.oceaneng.2020.108425 · Cited by 22

New Migratory Memory Algorithm for Implicit Finite Volume Solvers

Shende, N. V., & Balakrishnan, N. (2004) · AIAA Journal · doi:10.2514/1.8969 · Cited by 22

On disappearance of chaos in fractional systems

Deshpande, A. S., & Daftardar‐Gejji, V. (2017) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2017.04.046 · Cited by 22

Max-norm optimization for robust matrix recovery

Fang, E. X., Liu, H., Toh, K.-C., et al. (2017) · Mathematical Programming · doi:10.1007/s10107-017-1159-y · Cited by 22

Sparsity and conditioning of impedance matrices obtained with semi-orthogonal and bi-orthogonal wavelet bases

Golik, W. L. (2000) · IEEE Transactions on Antennas and Propagation · doi:10.1109/8.843660 · Cited by 22

Linear Subspace Reduction for Quasistatic Field Simulations to Accelerate Repeated Computations

Schmidthäusler, D., Schöps, S., & Clemens, M. (2014) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2013.2280693 · Cited by 21

Decentralized connectivity maintenance for networked Lagrangian dynamical systems

Sabattini, L., Secchi, C., & Chopra, N. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6224857 · Cited by 21

A Tutorial Introduction to Inverse Problems in Magnetic Resonance

Spencer, R. G. S., & Bi, C. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4315 · Cited by 22

Nonlinear Interface Reduction for Time-Domain Analysis of Hurty/Craig-Bampton Superelements with Frictional Contact

Hughes, P. J., & Kuether, R. J. (2021) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2021.116154 · Cited by 21

Modal decompositions and point scatterer approximations near the Minnaert resonance frequencies

Feppon, F., & Ammari, H. M. (2022) · Studies in Applied Mathematics · doi:10.1111/sapm.12493 · Cited by 29

A note on improving quadratic inference functions using a linear shrinkage approach

Han, P., & Song, P. X. ‐. (2010) · Statistics & Probability Letters · doi:10.1016/j.spl.2010.12.010 · Cited by 21

Fundamental comparison of time-domain experimental modal analysis methods based on high- and first-order matrix models

Hu, S. J., Yang, W.-L., Liu, F.-S., et al. (2014) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2014.08.012 · Cited by 21

Line Geometry and Camera Autocalibration

Ronda, J. I., Valdés, A., & Gallego, G. (2008) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-008-0095-0 · Cited by 21

Additive preconditioning, eigenspaces, and the inverse iteration

Pan, V. Y., & Yan, X. (2008) · Linear Algebra and its Applications · doi:10.1016/j.laa.2008.07.006 · Cited by 21

Point vortex equilibria and optimal packings of circles on a sphere

Newton, P. K., & Sakajo, T. (2010) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2010.0368 · Cited by 21

A symmetry approach for balanced truncation of positive linear systems

Grußler, C., & Damm, T. (2012) · doi:10.1109/cdc.2012.6426442 · Cited by 21

Families of subcritical spirals in highly counter-rotating Taylor-Couette flow

Meseguer, Á., Mellibovsky, F., Avila, M., et al. (2009) · Physical Review E · doi:10.1103/physreve.79.036309 · Cited by 21

Ubiquitous evaluation of layer potentials using Quadrature by Kernel-Independent Expansion

Rahimian, A., Barnett, A. H., & Zorin, D. (2017) · BIT Numerical Mathematics · doi:10.1007/s10543-017-0689-2 · Cited by 21

Identifying the magnetic permeability in multi-frequency EM data inversion

Deidda, G. P., de Alba, P. D., & Rodriguez, G. (2017) · ETNA - Electronic Transactions on Numerical Analysis · doi:10.1553/etna_vol47s1 · Cited by 21

A Meshless Method for Burgers’ Equation Using Multiquadric Radial Basis Functions With a Lie-Group Integrator

Seydaoğlu, M. (2019) · Mathematics · doi:10.3390/math7020113 · Cited by 21

Data driven regularization by projection

Aspri, A., Korolev, Y. M., & Scherzer, O. (2020) · Inverse Problems · doi:10.1088/1361-6420/abb61b · Cited by 21

A study of degrowth paths based on the von Neumann equilibrium model

Heikkinen, T. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119562 · Cited by 21

The Stability of Delaunay Triangulations

Boissonnat, J., Dyer, R., & Ghosh, A. (2013) · Cited by 21

Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n , Large p ” Bayesian Sparse Regression

Nishimura, A., & Suchard, M. A. (2022) · Journal of the American Statistical Association · doi:10.1080/01621459.2022.2057859 · Cited by 35

Spectrally Accurate Causality Enforcement Using SVD-Based Fourier Continuations for High-Speed Digital Interconnects

Barannyk, L. L., Aboutaleb, H. A., Elshabini, A., et al. (2015) · IEEE Transactions on Components Packaging and Manufacturing Technology · doi:10.1109/tcpmt.2015.2444388 · Cited by 21

Phase retrieval using the transport of intensity equation solved by the FMG–CG method

Xue, B., & Zheng, S. (2011) · Optik · doi:10.1016/j.ijleo.2011.01.004 · Cited by 21

On Meinardus’ examples for the conjugate gradient method

Li, R. (2007) · Mathematics of Computation · doi:10.1090/s0025-5718-07-01922-9 · Cited by 21

Two alternatives for solving hyperbolic boundary value problems of geophysical fluid dynamics

Harlander, U., & Maas, L. R. M. (2007) · Journal of Fluid Mechanics · doi:10.1017/s0022112007007574 · Cited by 21

Optimizing Potentials for a Liquid Mixture: A New Force Field for a tert -Butanol and Water Solution

Pierro, M. D., Mugnai, M. L., & Elber, R. (2014) · The Journal of Physical Chemistry B · doi:10.1021/jp505401m · Cited by 21

Global seismic tomography and modern parallel computers

Soldati, G., Boschi, L., & Piersanti, A. (2006) · Annals of Geophysics · doi:10.4401/ag-4407 · Cited by 21

The spectra of a graph obtained from copies of a generalized Bethe tree

Rojo, Ó. (2006) · Linear Algebra and its Applications · doi:10.1016/j.laa.2006.08.006 · Cited by 21

An algorithm to solve integer linear systems exactly using numerical methods

Wan, Z. (2005) · Journal of Symbolic Computation · doi:10.1016/j.jsc.2005.11.001 · Cited by 21

Bibliography on total least squares and related methods

Markovsky, I. (2010) · Statistics and Its Interface · doi:10.4310/sii.2010.v3.n3.a6 · Cited by 21

Compressive Sensing for Spread Spectrum Receivers

Fyhn, K., Jensen, T. L., Larsen, T., et al. (2013) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2013.032113.120975 · Cited by 20

Vector and Matrix Operations

de Velde, E. F. V. (1994) · Texts in applied mathematics · doi:10.1007/978-1-4612-0849-5_2 · Cited by 1

Matrix Methods: Applied Linear Algebra

Bronson, R., & Costa, G. B. (2008) · Cited by 15

AN INTRODUCTION TO LINEAR ALGEBRA

Wise, B. M., & Gallagher, N. B. (1998) · Critical Reviews in Analytical Chemistry · Cited by 236

Linear Algebra

Wang, L., Zhao, J., & Mortier, R. (2022) · Undergraduate topics in computer science · doi:10.1007/978-3-030-97645-3_4

Linear algebra

Gallardo-Alvarado, J., & Gallardo-Razo, J. (2022) · Elsevier eBooks · doi:10.1016/b978-0-32-395348-1.00013-2 · Cited by 1