Numerical Linear Algebra

System-Level Thermal Modeling Using Nonconformal Domain Decomposition and Model-Order Reduction

Xie, J., & Swaminathan, M. (2013) · IEEE Transactions on Components Packaging and Manufacturing Technology · doi:10.1109/tcpmt.2013.2286158 · Cited by 18

Rectangular full packed format for cholesky's algorithm

Gustavson, F. G., Waśniewski, J., Dongarra, J. J., et al. (2010) · ACM Transactions on Mathematical Software · doi:10.1145/1731022.1731028 · Cited by 18

Iterative solutions to the steady-state density matrix for optomechanical systems

Nation, P. D., Johansson, J. R., Blencowe, M. P., & Rimberg, A. J. (2015) · Physical Review E · doi:10.1103/physreve.91.013307 · Cited by 18

Exploring classification strategies with the CoEPrA 2006 contest

Demir-Kavuk, O., Riedesel, H., & Knapp, E. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq021 · Cited by 18

Recursive Inertia Estimation with Semidefinite Programming

Manchester, Z. R., & Peck, M. A. (2017) · AIAA Guidance, Navigation, and Control Conference and Exhibit · doi:10.2514/6.2017-1902 · Cited by 18

A representation-theoretic approach to the calculation of evolutionary distance in bacteria

Sumner, J. G., Jarvis, P., & Francis, A. R. (2017) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/aa7d60 · Cited by 18

Tie-Decay Networks in Continuous Time and Eigenvector-Based Centralities

Ahmad, W., Porter, M. A., & Beguerisse-Díaz, M. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3071429 · Cited by 23

Using the low-resolution properties of correlated images to improve the computational efficiency of eigenspace decomposition

Saitwal, K., Maciejewski, A. A., Roberts, R. G., et al. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.875231 · Cited by 18

Multivariate Detection of Transient Disturbances for Uni- and Multirate Systems

Cecílio, I. M., Ottewill, J. R., Fretheim, H., et al. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2014.2377182 · Cited by 17

Iterative, backscatter-analysis algorithms for increasing transmission and focusing light through highly scattering random media

Jin, C., Nadakuditi, R. R., Michielssen, E., et al. (2013) · Journal of the Optical Society of America A · doi:10.1364/josaa.30.001592 · Cited by 17

Adaptive sampling strategies for risk-averse stochastic optimization with constraints

Beiser, F., Keith, B., Urbainczyk, S., et al. (2022) · IMA Journal of Numerical Analysis · doi:10.1093/imanum/drac083 · Cited by 17

H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences

Zhu, Z., & Soricut, R. (2021) · doi:10.18653/v1/2021.acl-long.294 · Cited by 25

Fast Quantum Algorithms for Trace Distance Estimation

Wang, Q., & Zhang, Z. (2023) · IEEE Transactions on Information Theory · doi:10.1109/tit.2023.3321121 · Cited by 45

Understanding the Performance of Learning Precoding Policies With Graph and Convolutional Neural Networks

Zhao, B., Guo, J., & Yang, C. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2024.3388506 · Cited by 17

Controlling Dispersal Dynamics ofAedes aegypti

Ferreira, C. P., Pulino, P., Yang, H. M., et al. (2006) · Mathematical Population Studies · doi:10.1080/08898480600950515 · Cited by 17

On the SVMpath Singularity

Dai, J., Chang, C., Mai, F., et al. (2013) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2262180 · Cited by 17

A generalization of variable elimination for separable inverse problems beyond least squares

Shearer, P., & Gilbert, A. C. (2013) · Inverse Problems · doi:10.1088/0266-5611/29/4/045003 · Cited by 17

Bending and torsion of composite beams (torsional-warping shear deformation theory)

Kollár, L. P., & Pluzsik, A. (2012) · Journal of Reinforced Plastics and Composites · doi:10.1177/0731684412437611 · Cited by 17

Classical density functional theory and the phase-field crystal method using a rational function to describe the two-body direct correlation function

Pisutha-Arnond, N., Chan, V. W. L., Iyer, M., et al. (2013) · Physical Review E · doi:10.1103/physreve.87.013313 · Cited by 17

A fresh CP look at mixed-binary QPs: new formulations and relaxations

Bomze, I. M., Cheng, J., Dickinson, P. J. C., & Lisser, A. (2017) · Mathematical Programming · doi:10.1007/s10107-017-1109-8 · Cited by 15

Wilkinson’s Bus: Weak Condition Numbers, with an Application to Singular Polynomial Eigenproblems

Lotz, M., & Noferini, V. (2020) · Foundations of Computational Mathematics · doi:10.1007/s10208-020-09455-y · Cited by 17

Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation

Basak, S., Petit, S., Bect, J., et al. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-95470-3_9 · Cited by 17

Surrogate-based acceleration of quasi-Newton techniques for fluid-structure interaction simulations

Delaissé, N., Demeester, T., Fauconnier, D., et al. (2021) · Computers & Structures · doi:10.1016/j.compstruc.2021.106720 · Cited by 17

Numerical Methods in Physics with Python

Gezerlis, A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108772310 · Cited by 17

Implementation of cardiac Purkinje Fiber cells Model: High speed and low cost hardware

Mansouri, M. S., Naderi, A., & Ghanbari, B. (2022) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2022.154269 · Cited by 17

Sturm Sequences and Random Eigenvalue Distributions

Albrecht, J. T., Chan, C. P., & Edelman, A. S. (2008) · Foundations of Computational Mathematics · doi:10.1007/s10208-008-9037-x · Cited by 17

Optimization algorithms on the Grassmann manifold with application to matrix eigenvalue problems

Sato, H., & Iwai, T. (2014) · Japan Journal of Industrial and Applied Mathematics · doi:10.1007/s13160-014-0141-9 · Cited by 17

Memory-efficient centroid decomposition for long time series

Khayati, M., Böhlen, M. H., & Gamper, J. (2014) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.2014.6816643 · Cited by 17

Singular-Vector-Based Covariance Propagation in a Quasigeostrophic Assimilation System

Beck, A., & Ehrendorfer, M. (2005) · Monthly Weather Review · doi:10.1175/mwr2909.1 · Cited by 17

Extremal Rational Functions on Symmetric Discrete Sets and Superlinear Convergence of the ADI Method

Beckermann, B., & Gryson, A. (2010) · Constructive Approximation · doi:10.1007/s00365-010-9087-6 · Cited by 15

On the singular Neumann problem in linear elasticity

Kuchta, M., Mardal, K., & Mortensen, M. (2018) · Numerical Linear Algebra with Applications · doi:10.1002/nla.2212 · Cited by 17

The market rank indicator to detect financial distress

Figini, S., Maggi, M., & Uberti, P. (2018) · Econometrics and Statistics · doi:10.1016/j.ecosta.2017.12.001 · Cited by 17

Prioritized Inverse Kinematics: Generalization

An, S.-I., & Lee, D. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2927945 · Cited by 17

Interpolating functions of matrices on zeros of quasi-kernel polynomials

Moret, I., & Novati, P. (2004) · Numerical Linear Algebra with Applications · doi:10.1002/nla.393 · Cited by 17

Parameter selection and numerical approximation properties of Fourier extensions from fixed data

Adcock, B., & Ruan, J. (2014) · Journal of Computational Physics · doi:10.1016/j.jcp.2014.05.036 · Cited by 17

Efficient and Robust Approaches to the Stability Analysis of Large Multibody Systems

Bauchau, O. A., & Wang, J. (2007) · Journal of Computational and Nonlinear Dynamics · doi:10.1115/1.2397690 · Cited by 17

Sequential and parallel preconditioners for large-scale integral-equation problems

Malas, T., Ergul, O., & Gürel, L. (2007) · doi:10.1109/cem.2007.4387648 · Cited by 17

DYNAMIC MESHING AROUND FLUID-FLUID INTERFACES WITH APPLICATIONS TO DROPLET TRACKING IN CONTRACTION GEOMETRIES

Baniabedalruhman, A. (2015) · doi:10.37099/mtu.dc.etds/1005 · Cited by 17

Multidimensional scaling for big data

Delicado, P., & Pachón-García, C. (2024) · Advances in Data Analysis and Classification · doi:10.1007/s11634-024-00591-9 · Cited by 16

Ground reaction curve for tunnels using pre-injection in consideration of rockburst potential

Zareifard, M. R., Shamsi, M., & Shekari, M. R. (2025) · Journal of Rock Mechanics and Geotechnical Engineering · doi:10.1016/j.jrmge.2025.02.018 · Cited by 16

A generalization of Fiedler's lemma and some applications

Cardoso, D. M., Gutman, İ., Andrade, E., et al. (2011) · Linear and Multilinear Algebra · doi:10.1080/03081087.2010.536982 · Cited by 16

Signal-aware direction-of-arrival estimation using attention mechanisms

Mack, W., Wechsler, J., & Habets, E. A. P. (2022) · Computer Speech & Language · doi:10.1016/j.csl.2022.101363 · Cited by 16

Self-sustainment of coherent structures in counter-rotating Taylor–Couette flow

Wang, B., Ayats, R., Deguchi, K., Mellibovsky, F., & Meseguer, Á. (2022) · Journal of Fluid Mechanics · doi:10.1017/jfm.2022.828 · Cited by 16

A Fictitious Domain Spectral Method for Solving the Helmholtz Equation in Exterior Domains

Gu, Y., & Shen, J. (2023) · Journal of Scientific Computing · doi:10.1007/s10915-023-02098-5 · Cited by 16

Dynamically Orthogonal Runge–Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation

Charous, A., & Lermusiaux, P. F. J. (2023) · SIAM Journal on Scientific Computing · doi:10.1137/21m1431229 · Cited by 17

Resolvent analysis of a finite wing in transonic flow

Houtman, J., Timme, S., & Sharma, A. S. (2023) · Flow · doi:10.1017/flo.2023.8 · Cited by 16

Optimal sampling patterns for Zernike polynomials

Ramos-López, D., Sánchez-Granero, M. Á., Fernández-Martínez, M., et al. (2015) · Applied Mathematics and Computation · doi:10.1016/j.amc.2015.11.006 · Cited by 16

Tangent-Bundle Maps on the Grassmann Manifold: Application to Empirical Arithmetic Averaging

Fiori, S., Kaneko, T., & Tanaka, T. (2014) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2014.2365764 · Cited by 16

Mining Matrix Data with Bregman Matrix Divergences for Portfolio Selection

Nock, R., Magdalou, B., Briys, É., & Nielsen, F. (2012) · Springer eBooks · doi:10.1007/978-3-642-30232-9_15 · Cited by 16

Decentralized Connectivity Maintenance For Networked Lagrangian Dynamical Systems With Collision Avoidance

Sabattini, L., Secchi, C., & Chopra, N. (2014) · Asian Journal of Control · doi:10.1002/asjc.853 · Cited by 16

Eigenvalue perturbation bounds for Hermitian block tridiagonal matrices

Nakatsukasa, Y. (2011) · Applied Numerical Mathematics · doi:10.1016/j.apnum.2011.09.010 · Cited by 16

QR factorization based Incremental Extreme Learning Machine with growth of hidden nodes

Ye, Y., & Yang, Q. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.07.031 · Cited by 16

Scalable computation of thermomechanical turbomachinery problems

Richardson, C., Sime, N., & Wells, G. N. (2018) · Finite Elements in Analysis and Design · doi:10.1016/j.finel.2018.11.002 · Cited by 16

Balanced and Unbalanced Components of Moist Atmospheric Flows with Phase Changes

Wetzel, A. N., Smith, L. M., Stechmann, S. N., et al. (2019) · Chinese Annals of Mathematics Series B · doi:10.1007/s11401-019-0170-4 · Cited by 16

A Machine Condition Monitoring Framework Using Compressed Signal Processing

Rani, M., Dhok, S. B., & Deshmukh, R. B. (2020) · Sensors · doi:10.3390/s20010319 · Cited by 16

Numerical investigation of ensemble methods with block iterative solvers for evolution problems

Ju, L., Leng, W., Wang, Z., et al. (2020) · Discrete and Continuous Dynamical Systems - B · doi:10.3934/dcdsb.2020132 · Cited by 16

Reducing error accumulation of optimized finite-difference scheme using the minimum norm

Miao, Z., & Zhang, J. (2020) · Geophysics · doi:10.1190/geo2019-0758.1 · Cited by 16

Coherent solutions and transition to turbulence in two-dimensional Rayleigh-Bénard convection

Kooloth, P., Sondak, D., & Smith, L. M. (2021) · Physical Review Fluids · doi:10.1103/physrevfluids.6.013501 · Cited by 16

High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications

Zhang, S., Baharlouei, E., & Wu, P. (2020) · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · doi:10.1145/3369583.3392685 · Cited by 16

Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries

Rapp, T., Peters, C., & Dachsbacher, C. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030379 · Cited by 16

Phase-field finite deformation fracture with an effective energy for regularized crack face contact

Hakimzadeh, M., Agrawal, V., Dayal, K., et al. (2022) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2022.104994 · Cited by 16

A Recursive Formulation of the Inversion of Symmetric Positive Definite Matrices in Packed Storage Data Format

Andersen, B. S., Gunnels, J. A., Gustavson, F. G., et al. (2002) · Lecture notes in computer science · doi:10.1007/3-540-48051-x_29 · Cited by 16

Parameterizing the growth-decline boundary for uncertain population projection models

Lubben, J., Boeckner, D., Rebarber, R., et al. (2008) · Theoretical Population Biology · doi:10.1016/j.tpb.2008.11.004 · Cited by 16

Projective deformations of hyperbolic Coxeter 3-orbifolds

Choi, S., Hodgson, C. D., & Lee, G. (2011) · Geometriae Dedicata · doi:10.1007/s10711-011-9650-8 · Cited by 16

FPGA implementation of large-scale matrix inversion using single, double and custom floating-point precision

Arias-García, J., Llanos, C. H., Ayala-Rincón, M., et al. (2012) · doi:10.1109/spl.2012.6211787 · Cited by 16

Comparison of gradient encoding directions for higher order tensor diffusion data

Mang, S. C., Gembris, D., Grodd, W., & Klose, U. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21797 · Cited by 16

On properties of cell matrices

Jaklič, G., & Modic, J. (2010) · Applied Mathematics and Computation · doi:10.1016/j.amc.2010.03.032 · Cited by 16

A Generalized Transfer-Function Based Array Calibration Technique for Direction Finding

Mir, H. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.907836 · Cited by 16

Interpolation of scattered data: investigating alternatives for the modified Shepard method

Basso, K., Zingano, P. R. D. A., & Freitas, C. M. D. S. (1999) · doi:10.1109/sibgra.1999.805606 · Cited by 16

Geometric computation of the numerical radius of a matrix

Uhlig, F. (2009) · Numerical Algorithms · doi:10.1007/s11075-009-9276-1 · Cited by 16

Toward Flexibility in Sensor Placement for Motion Capture Systems: A Signal Processing Approach

Haratian, R., Twycross-Lewis, R., Timotijevic, T., et al. (2013) · IEEE Sensors Journal · doi:10.1109/jsen.2013.2286994 · Cited by 16

Iterative methods for the force-based quasicontinuum approximation: Analysis of a 1D model problem

Dobson, M., Luskin, M., & Ortner, C. (2010) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2010.07.008 · Cited by 16

Extended Boolean Matrix Decomposition

Lu, H., Vaidya, J. S., Atluri, V., et al. (2009) · Proceedings · doi:10.1109/icdm.2009.61 · Cited by 16

On the parallel iterative solution of linear systems arising in the FEAST algorithm for computing inner eigenvalues

Galgon, M., Krämer, L., Thies, J., et al. (2015) · Parallel Computing · doi:10.1016/j.parco.2015.06.005 · Cited by 16

Numerical Study of Three-Dimensional Photonic Crystals with Large Band Gaps

Chern, R.-L., Chang, C. C., Chang, C. C., et al. (2004) · Journal of the Physical Society of Japan · doi:10.1143/jpsj.73.727 · Cited by 16

Performance metrics for Multi-Input Multi-Output (MIMO) visible light communications

Tran, T., & O'Brien, D. C. (2012) · International Workshop on Optical Wireless Communications (IWOW) · doi:10.1109/iwow.2012.6349684 · Cited by 16

Vandermonde matrices with Chebyshev nodes

Li, R. (2007) · Linear Algebra and its Applications · doi:10.1016/j.laa.2007.10.029 · Cited by 16

A fast boundary cloud method for exterior 2D electrostatic analysis

Shrivastava, V., & Aluru, N. R. (2002) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.562 · Cited by 16

A generalization of variable elimination for separable inverse problems beyond least squaresPreprint

Shearer, P., & Gilbert, A. C. (2016) · Cited by 16

Real-time impending lithium battery terminal voltage collapse detection via dynamic mode decomposition and optimal Kalman filtering algorithms

Tameemi, A. Q., Kanesan, J., & Khairuddin, A. S. M. (2025) · Energy Conversion and Management · doi:10.1016/j.enconman.2025.119896 · Cited by 15

Frequency‐space wavefield extrapolation using infinite impulse response digital filters: is it feasible?

Mousa, W. A. (2012) · Geophysical Prospecting · doi:10.1111/j.1365-2478.2012.01058.x · Cited by 15

A real-time distributed Prony-based algorithm for modal estimation of power system oscillations

Nabavi, S., & Chakrabortty, A. (2014) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2014.6859381 · Cited by 15

Using TNT-NN to unlock the fast full spatial inversion of large magnetic microscopy data sets

Myre, J. M., Lascu, I., Lima, E. A., Feinberg, J. M., Saar, M. O., & Weiss, B. P. (2019) · Earth Planets and Space · doi:10.1186/s40623-019-0988-8 · Cited by 15

A Segregated Approach for Modeling the Electrochemistry in the 3-D Microstructure of Li-Ion Batteries and Its Acceleration Using Block Preconditioners

Allen, J. M., Chang, J., Usseglio‐Viretta, F. L. E., Graf, P. A., & Smith, K. A. (2021) · Journal of Scientific Computing · doi:10.1007/s10915-021-01410-5 · Cited by 21

Buckling analysis of thin plates using direct interpolation boundary element method

Campos, L. S., Doval, P. C. M., Albuquerque, E. L., et al. (2023) · Engineering Analysis with Boundary Elements · doi:10.1016/j.enganabound.2023.07.035 · Cited by 15

Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads

Jerez, D. J., Fragkoulis, V. C., Ni, P., Mitseas, I. P., Valdebenito, M. A., Faes, M. G. R., & Beer, M. (2023) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2023.111043 · Cited by 17

Random walk with restart on hypergraphs: fast computation and an application to anomaly detection

Chun, J., Lee, G., Shin, K., et al. (2023) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-023-00995-9 · Cited by 15

Towards understanding CG and GMRES through examples

Carson, E., Liesen, J., & Strakoš, Z. (2024) · Linear Algebra and its Applications · doi:10.1016/j.laa.2024.04.003 · Cited by 15

Sampling Error Analysis in Quantum Krylov Subspace Diagonalization

Lee, G., Lee, D., & Huh, J. (2024) · Quantum · doi:10.22331/q-2024-09-19-1477 · Cited by 20

Multivariate calibration leverages and spectral F‐ratios via the filter factor representation

Andries, E., & Kalivas, J. H. (2010) · Journal of Chemometrics · doi:10.1002/cem.1277 · Cited by 15

Remeshing‐assisted Optimization for Locally Injective Mappings

Jin, Y., Huang, J., & Tong, R. (2014) · Computer Graphics Forum · doi:10.1111/cgf.12452 · Cited by 15

Understanding Properties of Cofactors in Proteins: Redox Potentials of Synthetic Cytochromes b

Gámiz‐Hernández, A. P., Kieseritzky, G., Galstyan, A. S., et al. (2010) · ChemPhysChem · doi:10.1002/cphc.200900889 · Cited by 15

Dimensionality reduction for data of unknown cluster structure

Nowakowska, E., Koronacki, J., & Lipovetsky, S. (2015) · Information Sciences · doi:10.1016/j.ins.2015.10.009 · Cited by 15

Fast semi-supervised discriminant analysis for binary classification of large data sets

Tavernier, J., Simm, J., Meerbergen, K., Wegner, J. K., Ceulemans, H., & Moreau, Y. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.02.015 · Cited by 14

Exact sampling of determinantal point processes without eigendecomposition

Launay, C., Galerne, B., & Desolneux, A. (2020) · Journal of Applied Probability · doi:10.1017/jpr.2020.56 · Cited by 15

Effects of confinement, geometry, inlet velocity profile, and Reynolds number on the asymmetry of opposed-jet flows

Ansari, A., Chen, K. K., Burrell, R. R., et al. (2018) · Theoretical and Computational Fluid Dynamics · doi:10.1007/s00162-018-0457-1 · Cited by 15

Complete OSV-MP2 Analytical Gradient Theory for Molecular Structure and Dynamics Simulations

Zhou, R., Liang, Q., & Yang, J. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00806 · Cited by 15

Laplace domain method for computing the transient response of floating structures to irregular waves

Sun, J., Hu, S. J., & Li, H. (2020) · Ocean Engineering · doi:10.1016/j.oceaneng.2020.107200 · Cited by 15

Recent Advances in High Frequency Modeling by Means of Domain Confinement and Nested Kriging

Koziel, S. M., & Pietrenko‐Dabrowska, A. (2020) · IEEE Access · doi:10.1109/access.2020.3031369 · Cited by 15

Proper Generalized Decomposition with time adaptive space separation for transient wave propagation problems in separable domains

Goutaudier, D., Berthe, L., & Chinesta, F. (2021) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2021.113755 · Cited by 15

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