[1]
Song W., Huang R., Xu M., Ma A., Shirazi B., Lahusen R., Air-dropped sensor network for real-time high fidelity volcano monitoring, in The 7th Annual International Conference on Mobile Systems, Applications and Services (MobiSys), 2009.
[2]
Waite G. P., Moranb S. C., VP structure of Mount St. Helens, Washington, USA, imaged with local earthquake tomography, Journal of Volcanology and Geothermal Research, vol. 182, no. 1&2, pp. 113–122, 2009.
[3]
Iyer H. M., Dawson P. B., Imaging Volcanoes Using Teleseismic Tomography. Chapman and Hall, 1993.
[4]
Lees J. M., The Magma system of Mount St. Helens: Non-linear high-resolution P wave tomography, Journal of Volcanology and Geothermal Research, vol. 53, pp. 103–116, 1992.
[5]
Moran S. C., Lees J. M., Malone S. D., P wave crustal velocity structure in the greater Mount Rainier area from local earthquake tomography, Journal of Geophysical Research, vol. 104, no. B5, pp. 10775–10786, 1999.
[6]
Kamath G., Shi L., Song W., Component-average based distributed seismic tomography in sensor networks, in IEEE DCOSS, 2013.
[7]
Lees J. M., Crosson R. S., Bayesian art versus conjugate gradient methods in tomographic seismic imaging: An application at Mount St. Helens, Washington, Institute of Mathematical Statistics, vol. 20, pp. 186–208, 1991.
[8]
Sleeman R., van Eck T., Robust automatic P-phase picking: An on-line implementation in the analysis of broadband seismogram recordings, Physics of the Earth and Planetary Interiors, vol. 113, no. 1–4, pp. 265–275, 1999.
[9]
Tan R., Xing G., Chen J., Song W., Huang R., Quality-driven volcanic earthquake detection using wireless sensor networks, in the 31st IEEE Real-Time Systems Symposium (RTSS), San Diego, CA, USA, 2010.
[10]
Geiger L., Probability method for the determination of earthquake epicenters from the arrival time only, Bull. St. Louis. Univ, vol. 8, pp. 60–71, 1912.
[11]
Heath M. T., Ng E., Peyton B. W., Parallel algorithms for sparse linear systems, SIAM Review, vol. 33, no. 3, pp. 420–460, 1991.
[12]
Bertsekas D. P., Tsitsiklis J. N., Some aspects of parallel and distributed iterative algorithms—A survey, Automatica, vol. 27, no. 1, pp. 3–21, 1991.
[13]
Schizas I. D., Mateos G., Giannakis G. B., Distributed LMS for consensus-based in-network adaptive processing, IEEE Transactions on Signal Processing, vol. 57, no. 6, pp. 2365–2382, 2009.
[14]
Renaut R. A., A parallel multisplitting solution of the least squares problem, Numerical Linear Algebra with Applications, vol. 5, no. 1, pp. 11–31, 1998.
[15]
Kaczmarz S., Angenäherte Auflösung von Systemen linearer Gleichungen, Bulletin International de l'Académie Polonaise des Sciences et des Lettres, vol. 35, pp. 355–357, 1937.
[16]
Herman G. T., Reconstruction from Projections: The Fundamentals of Computerized Tomography. Academic Press, 1980.
[17]
Censor Y., Gordon D., Gordon R., Component averaging: An efficient iterative parallel algorithm for large and sparse unstructured problems, Parallel Computing, vol. 27, no. 6, pp. 777–808, 2001.
[18]
Censor Y., Gordon D., Gordon R., BICAV: A block-iterative parallel algorithm for sparse systems with pixel-related weighting, IEEE Transaction on Medical Imaging, vol. 20, no. 10, pp. 1050–1060, 2001.
[19]
Gordon D., Gordon R., Component-averaged row projections: A robust, block-parallel scheme for sparse linear systems, SIAM Journal on Scientific Computing, vol. 27, pp. 1092–1117, 2005.
[20]
Elble J. M., Sahinidis N. V., Vouzis P., GPU computing with Kaczmarz's and other iterative algorithms for linear systems, Parallel Computing, vol. 36, pp. 215–231, 2010.
[21]
Trottenberg U., Oosterlee C., Schuller A., Multigrid. Academic Press, 2001.
[22]
Briggs W. L., Henson V. E., McCormick S. F., A multigrid tutorial. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2000.
[23]
Yang U. M., Parallel Algebraic Multigrid Methods—High Performance Preconditioners, vol. 51. Springer-Verlag, 2006, pp. 209–236.
[24]
Chow E., Falgout R. D., Hu J. J., Tuminaro R. S., Yang U. M., A survey of parallelization techniques for multigrid solvers. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2005.
[25]
Smith B., Bjorstad P., Gropp W., Domain Decomposition: Parallel Multi-level Methods for Elliptic Partial Differential Equations. Cambridge University Press, 1996.
[26]
Yserentant H., On the multi-level splitting of finite element spaces, Numer. Math, vol. 49, pp. 379–412, 1986.
[27]
Popa C., Algebraic multigrid smoothing property of Kaczmarz's relaxation for general rectangular linear systems, Electronic Transactions on Numerical Analysis, vol. 29, pp. 150–162, 2008.
[28]
Kostler H., Popa C., Rude U., Algebraic multigrid for general inconsistent linear systems: The correction step, Technical report, Lehrstuhl für Informatik 10 (Systemsimulation), FAU Erlangen-Nürnberg, 2006.
[29]
Popa C., Zdunek R., Kaczmarz extended algorithm for tomographic image reconstruction from limited-data, Mathematics and Computers in Simulation, vol. 65, pp. 579–598, 2004.
[30]
Hansen P. C., Saxild-Hansen M., AIR tools—A MATLAB package of algebraic iterative reconstruction methods, Journal of Computational and Applied Mathematics, vol. 236, no. 8, pp. 2167–2178, 2012.
[31]
Curtis A., Snieder R., Reconditioning inverse problems using the genetic algorithm and revised parameterization, Geophysics, vol. 62, no. 5, pp. 1524–1532, 1997.