Abstract
We apply the Nesterov minimization method to the domain decomposition of a Poisson problem. The resulting domain decomposition method can be viewed as a projected gradient method and needs only matrix/vector multiplications. Preliminary numerical experiments show that significant speed-up can be obtained with the method.
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References
Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sci. 2(1), 183–202 (2009)
Helfenstein, R., Koko, J.: Parallel preconditioned conjugate gradient algorithm on gpu. J. Comput. Appl. Math. 236, 3584–3590 (2012)
Nesterov, Y.: A method for solving the convex programming problem with convergence rate 0(1∕k 2). Dokl. Akad. Nauk. SSSR 269(3), 543–547 (1983)
Nesterov, Y.: Smooth minimization of non-smooth functions. Math. Program. (A) 103, 127–152 (2005)
Quarteroni, A., Valli, A.: Domain Decomposition Methods for Partial Differential Equations. Oxford University Press, Oxford (1999)
Toselli, A., Widlund, O.: Domain Decomposition Methods—Algorithms and Theory. Springer, Heidelberg (2005)
Weiss, P., Blanc-Ferraud, L., Aubert, G.: Efficient schemes for total variation minimization under constraints in image processing. SIAM J. Sci. Comput. 31, 2047–2080 (2009)
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Andzembe, F., Koko, J., Sassi, T. (2014). Domain Decomposition with Nesterov’s Method. In: Erhel, J., Gander, M., Halpern, L., Pichot, G., Sassi, T., Widlund, O. (eds) Domain Decomposition Methods in Science and Engineering XXI. Lecture Notes in Computational Science and Engineering, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-05789-7_92
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DOI: https://doi.org/10.1007/978-3-319-05789-7_92
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