[1] P. R. Amestoy, I. S. Duff, and J.-Y. L'Excellent. Multifrontal parallel distributed symmetric and unsymmetric solvers. Comput. Methods in Appl. Mech. Engrg., 184:501-520, 2000.
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[2] B. Carpentieri, I. S. Duff, and L. Giraud. Sparse pattern selection strategies for robust Frobenius-norm minimization preconditioners in electromagnetism. Numerical Linear Algebra with Applications, 7(7-8):667-685, 2000.
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[3] F. Chaitin-Chatelin, V. Toumazou, and E. Traviesas. Accuracy assessment for eigencomputations : variety of backward errors and pseudospectra. Linear Algebra and its Applications, 309:73-83, 2000.
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[4] S. Dallakyan. A note on the visualization of multiparametric bifurcations. Computers & Graphics, 24(2):269-270, 2000.
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[5] V. Frayssé, S. Gratton, and V. Toumazou. Structured backward error and condition number for linear systems of the type A*A x = b. BIT, 40(1):74-83, 2000.
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[6] P. R. Amestoy, I. S. Duff, J.-Y. L'Excellent, and J. Koster. A fully asynchronous multifrontal solver using distributed dynamic scheduling. SIAM J. Matrix Analysis and Applications, 23(1):15-41, 2001.
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[7] P. R. Amestoy, I. S. Duff, J.-Y. L'Excellent, and X. S. Li. Analysis and comparison of two general sparse solvers for distributed memory computers. ACM Trans. Math. Softw., 27(4):1-33, December 2001.
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[8] Z.-Z. Bai, I. S. Duff, and A. J. Wathen. A class of incomplete orthogonal factorization methods. I: Methods and theories. BIT, 41(1):53-70, 2001.
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[9] L. M. Carvalho, L. Giraud, and G. Meurant. Local preconditioners for two-level non-overlapping domain decomposition methods. Numerical Linear Algebra with Applications, 8(4):207-227, 2001.
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[10] L. M. Carvalho, L. Giraud, and P. Le Tallec. Algebraic two-level preconditioners for the Schur complement method. SIAM J. Scientific Computing, 22(6):1987 - 2005, 2001.
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[11] I. S. Duff and J. Koster. On algorithms for permuting large entries to the diagonal of a sparse matrix. SIAM J. Matrix Analysis and Applications, 22(4):973-996, 2001.
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[12] L. Giraud, R. Guivarch, and J. Stein. Parallel distributed fast 3D Poisson solver for meso-scale atmospheric simulations. Int. J. of High Performance Computing Applications, 15(1):36-46, 2001.
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[13] N. I. M. Gould, D. Orban, A. Sartenaer, and Ph. L. Toint. Superlinear convergence of primal-dual interior point algorithms for nonlinear programming. SIAM J. Optimization, 11(4):974-1002, 2001.
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[14] A. Meister and C. Vömel. Efficient preconditioning of linear systems arising from the discretization of hyperbolic conservation laws. Advances in Computational Mathematics, 14:49-73, 2001.
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[15] L. S. Blackford, J. Demmel, J. Dongarra, I. S. Duff, S. Hammarling, G. Henry, M. Heroux, L. Kaufman, A. Lumsdaine, A. Petitet, R. Pozo, K. Remington, and R. C. Whaley. An updated set of Basic Linear Algebra Subprograms (BLAS). ACM Trans. Math. Softw., 28(2):135-151, June 2002.
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[16] I. S. Duff, M. A. Heroux, and R. Pozo. An overview of the Sparse Basic Linear Algebra Subprograms: The new standard from the BLAS Technical Forum. ACM Trans. Math. Softw., 28(2):239-267, 2002.
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[17] I. S. Duff, M. A. Heroux, and R. Pozo. An overview of the Sparse Basic Linear Algebra Subprograms: the new standard from the BLAS Technical Forum. ACM Trans. Math. Softw., 28(2):239-267, 2002.
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[18] I. S. Duff and C. Vömel. Algorithm 818: A reference model implementation of the Sparse BLAS in Fortran 95. ACM Trans. Math. Softw., 28(2):268-283, 2002.
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[19] I. S. Duff and C. Vömel. Algorithm 818: A Reference Model Implementation of the Sparse BLAS in Fortran 95. ACM Trans. Math. Softw., 28(2):268-283, 2002. Implementation available from URL: http://www.netlib.org/netlib/toms/818.
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[20] I. S. Duff and C. Vömel. Incremental Norm Estimation for Dense and Sparse Matrices. BIT, 42(2):300-322, 2002.
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[21] L. Giraud. Combining shared and distributed memory programming models on clusters of symmetric multiprocessors: Some basic promising experiments. Int. J. of High Performance Computing Applications, 16(4):425-430, 2002.
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[22] L. Giraud and J. Langou. When modified Gram-Schmidt generates a well-conditioned set of vectors. IMA J. Numerical Analysis, 22(4):521-528, 2002.
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[23] N. I. M. Gould, D. Orban, A. Sartenaer, and Ph. L. Toint. Componentwise fast convergence in the solution of full-rank systems of nonlinear equations. Mathematical Programming, Series B, 92(3):481-508, 2002.
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[24] D. Kay, D. Loghin, and A. J. Wathen. A preconditioner for the Steady-State Navier-Stokes equations. SIAM J. Scientific Computing, 24(1):237-256, 2002.
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[25] D. Loghin and A. J. Wathen. Schur complement preconditioners for the Navier-Stokes equations. Int. J. Num. Meth. in Fluids, 40(3-4):403-412, 2002.
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[26] D. Orban and S. J. Wright. Properties of the Log-Barrier Function on Degenerate Nonlinear Programs. Mathematics of Operations Research, 27(3):585-613, 2002.
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[27] J. Rahola and S. Tissari. Iterative solution of dense linear systems arising from the electrostatic integral equation in MEG. Physics in Medicine and Biology, 47(6):961-975, 2002.
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[28] M. Rojas and D. C. Sorensen. A trust-region approach to the regularization of large-scale discrete ill-posed problems. SIAM J. Scientific Computing, 26(3):1843-1861, 2002.
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[29] M. Rojas and T. Steihaug. An interior-point trust-region-based method for large-scale nonnegative regularization. Inverse Problems, 18(5):1291-1307, 2002.
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[30] P. R. Amestoy, I. S. Duff, J.-Y. L'Excellent, and X. S. Li. Impact of the implementation of MPI point-to-point communications on the performance of two general sparse solvers. Parallel Computing, 29(7):833-847, 2003.
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[31] P. R. Amestoy, I. S. Duff, S. Pralet, and C. Vömel. Adapting a parallel sparse direct solver to architectures with clusters of smps. Parallel Computing, 29(11-12):1645-1668, 2003.
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[32] B. Carpentieri, I. S. Duff, and L. Giraud. A class of spectral two-level preconditioners. SIAM J. Scientific Computing, 25(2):749-765, 2003.
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[33] L. Giraud and J. Langou. Robust selective Gram-Schmidt reorthogonalization. SIAM J. Scientific Computing, 25(2):417-441, 2003.
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[34] L. Giraud, F. Guevara Vasquez, and R. S. Tuminaro. Grid transfer operators for highly variable coefficient problems in two-level non-overlapping domain decomposition methods. Numerical Linear Algebra with Applications, 10(5-6):467-484, 2003.
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[35] D. Loghin and A. J. Wathen. Schur complement preconditioning for elliptic systems of partial differential equations. Numerical Linear Algebra with Applications, 10:423-443, 2003.
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[36] P. R. Amestoy, T. A. Davis, and I. S. Duff. Algorithm 837: AMD, an approximate minimum degree ordering algorithm. ACM Trans. Math. Softw., 30(3):381-388, 2004.
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[37] E. Anterrieu, S. Gratton, and B. Picard. Inverse problem in remote sensing by aperture synthesis imaging. Traitement du Signal, 21(1):1-16, 2004.
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[38] B. Carpentieri, I. S. Duff, L. Giraud, and M. Magolu monga Made. Sparse symmetric preconditioners for dense linear systems in electromagnetism. Numerical Linear Algebra with Applications, 11(8-9):753-771, 2004.
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[39] I. S. Duff. MA57 - A code for the solution of sparse symmetric indefinite systems. ACM Trans. Math. Softw., 30(2):118-144, 2004.
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[40] I. S. Duff and J. A. Scott. A parallel direct solver for large highly unsymmetric linear systems. ACM Trans. Math. Softw., 30(2):95-117, 2004.
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[41] L. Giraud, S. Gratton, and J. Langou. A rank-k update procedure for reorthogonalizing the orthogonal factor from modified Gram-Schmidt. SIAM J. Matrix Analysis and Applications, 25(4):1163-1177, 2004.
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[42] D. Loghin and A. J. Wathen. Analysis of preconditioners for saddle-point problems. SIAM J. Scientific Computing, 25(6):2029-2049, 2004.
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[43] P. R. Amestoy, I. S. Duff, and C. Vömel. Task scheduling in an asynchronous distributed memory multifrontal solver. SIAM J. Matrix Analysis and Applications, 26:544-565, 2005.
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[44] M. Arioli, D. Loghin, and A. Wathen. Stopping criteria for iterations in finite-element methods. Numerische Mathematik, 99:381-410, 2005.
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[45] M. Baboulin, L. Giraud, and S. Gratton. A parallel distributed solver for large dense symmetric systems: applications to geodesy and electromagnetism problems. Int. J. High Speed Computing, 19(04):353-363, 2005.
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[46] A. Bouras and V. Frayssé. Inexact matrix-vector products in Krylov methods for solving linear systems: a relaxation strategy. SIAM J. Matrix Analysis and Applications, 26(23):660-678, 2005.
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[47] B. Carpentieri, I. S. Duff, L. Giraud, and G. Sylvand. Combining fast multipole techniques and an approximate inverse preconditioner for large electromagnetism calculations. SIAM J. Scientific Computing, 27(3):774-792, 2005.
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[48] I. S. Duff, L. Giraud, J. Langou, and E. Martin. Using spectral low rank preconditioners for large electromagnetic calculations. Int. J. Numerical Methods in Engineering, 62(3):416-434, 2005.
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[49] I. S. Duff and S. Pralet. Strategies for scaling and pivoting for sparse symmetric indefinite problems. SIAM J. Matrix Analysis and Applications, 27(2):313-340, 2005.
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[50] I. S. Duff and J. A. Scott. Stabilized bordered block diagonal forms for parallel sparse solvers. Parallel Computing, 31:275-289, 2005.
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[51] V. Frayssé, L. Giraud, S. Gratton, and J. Langou. Algorithm 842: A set of GMRES routines for real and complex arithmetics on high performance computers. ACM Trans. Math. Softw., 31(2):228-238, 2005.
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[52] L. Giraud, J. Langou, and M. Rozloznik. On the loss of orthogonality in the Gram-Schmidt orthognalization process. Computer and Mathematics with Applications, 50:1069-1075, 2005.
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[53] L. Giraud, J. Langou, M. Rozloznik, and J. van den Eshof. Rounding error analysis of the classical Gram-Schmidt orthogonalization process. Numerische Mathematik, 101(1):87-100, 2005.
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[54] L. Giraud, A. Marrocco, and J.-C. Rioual. Iterative versus direct parallel substructuring methods in semiconductor device modelling. Numerical Linear Algebra with Applications, 12(1):33-53, 2005.
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[55] A. S. Lawless, S. Gratton, and N. K. Nichols. Approximate iterative methods for variational data assimilation. Int. J. Numer. Methods in Fluids, 47:1129-1135, 2005.
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[56] A. S. Lawless, S. Gratton., and N. K. Nichols. An investigation of incremental 4D-Var using non-tangent linear models. Quart. J. Royal Met. Soc., 131:459-476, 2005.
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[57] A. T. Papadopoulos, I. S. Duff, and A. J. Wathen. A class of incomplete orthogonal factorization methods. II: implementation and results. 45(1):159-179, 2005.
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[58] J. van den Eshof, G. L. G. Sleijpen, and M. B. van Gijzen. Relaxation strategies for nested Krylov methods. J. Comput. Appl. Math., 117(2):347-365, 2005.
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[59] G. Alléon, S. Champagneux, G. Chevalier, L. Giraud, and G. Sylvand. Parallel distributed numerical simulations in aeronautic applications. J. Applied Mathematical Modelling, 30:714-730, 2006.
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[60] F. Bastin, C. Cirillo, and Ph. L. Toint. An adaptive Monte Carlo algorithm for computing mixed logit estimators. Computational Management Science, 3(1):55-79, 2006.
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[61] F. Bastin, C. Cirillo, and Ph. L. Toint. Application of an adaptive Monte Carlo algorithm to mixed logit estimation. Transportation Research Part B, 40(7):577-593, 2006.
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[62] F. Bastin, C. Cirillo, and Ph. L. Toint. Convergence theory for nonconvex stochastic programming with an application to mixed logit. Mathematical Programming, 108(2-3):207-234, 2006.
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[63] F. Chaitin-Chatelin and M. B. van Gijzen. Analysis of parameterized quadratic eigenvalue problems in computational acoustics with homotopic deviation theory. Numerical Linear Algebra with Applications, 13:487-512, 2006.
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[64] L. Giraud and S. Gratton. On the sensitivity of some spectral preconditioners. SIAM Journal on Matrix Analysis and Applications, 27(4):1089-1105, 2006.
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[65] L. Giraud, J. Langou, and G. Sylvand. On the parallel solution of large industrial wave propagation problems. J. Computational Acoustics, 14:83-111, 2006.
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[66] L. Giraud, D. Ruiz, and A. Touhami. A comparative study of iterative solvers exploiting spectral information for SPD systems. SIAM Journal on Scientific Computing, 27(5):1760-1786, 2006.
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[67] S. Gratton, A. Sartenaer, and Ph.L. Toint. Second-order convergence properties of trust-region methods using incomplete curvature information, with an application to multigrid. Journal of Computational Mathematics, 24(06):676-692, 2006. see also TR/PA/06/34.
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[68] D. Loghin, D. Ruiz, and A. Touhami. Adaptive preconditioners for nonlinear systems of equations. J. Comput. Appl. Math., 189(1):362-374, 2006.
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[69] D. Loghin, M. van Gijzen, and E. Jonkers. Bounds on the eigenvalue range and on the field of values of non-hermitian and indefinite finite element matrices. J. Comput. Appl. Math., 189(1):304-323, 2006.
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[70] A. Toselli and X. Vasseur. A numerical study on Neumann-Neumann methods for hp approximations on geometrically refined boundary layer meshes ii. three-dimensional problems. Mathematical Modelling and Numerical Analysis, 40:99-122, 2006.
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[71] M. Arioli, M. Baboulin, and S. Gratton. A partial condition number for linear least-squares problems. SIAM J. Matrix Anal. and Appl., 29(2):413-433, 2007.
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[72] M. Arioli, I. S. Duff, S. Gratton, and S. Pralet. A note on GMRES preconditioned by a perturbed LDLT decomposition with static pivoting. SIAM Journal on Scientific Computing, 29(5):2024-2044, 2007.
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[73] C. Aykanat, B. B. Cambazoglu, and B. Ucar. Multi-level direct k-way hypergraph partitioning with multiple constraints and fixed vertices. Journal of Parallel and Distributed Computing, 29(4):1683-1709, 2007.
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[74] M. Baboulin, L. Giraud, S. Gratton, and J. Langou. A distributed packed storage for large dense parallel in-core calculations. Concurrency and Computation: Practice and Experience, 19(4):483-502, 2007.
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[75] B. Carpentieri, L. Giraud, and S. Gratton. Additive and multiplicative two-level spectral preconditioning for general linear systems. SIAM Journal on Scientific Computing, 29(4):1593-1612, 2007.
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[76] I. S. Duff, S. Gratton, X. Pinel, and X. Vasseur. Multigrid based preconditioners for the numerical solution of two-dimensional heterogeneous problems in geophysics. International Journal of Computer Mathematics, 84-88:1167-1181, 2007.
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[77] I. S. Duff and S. Pralet. Towards stable mixed pivoting strategies for the sequential and parallel solution of sparse symmetric indefinite systems. SIAM J. Matrix Anal. and Appl., 29(3):1007-1024, 2007.
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[78] D. Ettema, F. Bastin, J. Polak, and O. Ashiru. An error-components framework for joint choice models of activity timing and duration. Transportation Research Part A, 41(9):827-849, 2007.
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[79] L. Giraud, S. Gratton, and J. Langou. Convergence in backward error of relaxed GMRES. SIAM Journal on Scientific Computing, 29(2):710-728, 2007.
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[80] L. Giraud, S. Gratton, and E. Martin. Incremental spectral preconditioners for sequences of linear systems. Applied Numerical Mathematics, 57(11-12):1164-1180, 2007.
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[81] S. Gratton, A. S. Lawless, and N. K. Nichols. Approximate Gauss-Newton methods for nonlinear least squares problems. SIAM Journal on Optimization, 18(1):106-132, 2007.
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[82] D. Mariano-Goulart, P. Maréchal, S. Gratton, and L. Giraud. A priori selection of the regularization parameters in emission tomography by Fourier synthesis. Computerized Medical Imaging and Graphics, 31(7):502-509, 2007.
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[83] B. Uçar and C. Aykanat. Partitioning sparse matrices for parallel preconditioned iterative methods. SIAM Journal on Scientific Computing, 29(4):1683-1709, 2007.
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[84] B. Uçar and C. Aykanat. Revisiting hypergraph models for sparse matrix partitioning. SIAM Review, 49(4):595-603, 2007.
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[85] L. Valdettaro, M. Rieutord, T. Braconnier, and V. Fraysse. Convergence and round-off errors in a two-dimensional eigenvalue problem using spectral methods and Arnoldi-Chebyshev algorithm. Journal of Computational and Applied Mathematics, 205(1):382-393, 2007.
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[86] M. Arioli and I. S. Duff. Using FGMRES to obtain backward stability in mixed precision. Electronic Transactions on Numerical Analysis, 33, 2008. Special issue commemorating 60th anniversary of Gérard Meurant.
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[87] C. Aykanat, B. B. Cambazoglu, and B. Ucar. Multi-level direct k-way hypergraph partitioning with multiple constraints and fixed vertices. Journal of Parallel and Distributed Computing, 68:609-625, 2008.
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[88] V. Frayssé, L. Giraud, and S. Gratton. Algorithm 881: A set of flexible GMRES routines for real and complex arithmetics on high-performance computers. ACM Trans. Math. Softw., 35(2):1-12, 2008.
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[89] A. El Ghazi, S.E. Hajji, L. Giraud, and S. Gratton. Newton's method for the common eigenvector problem. Journal of Computational and Applied Mathematics, 219-2:398-407, 2008.
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[90] L. Giraud, A. Haidar, and L. T. Watson. Parallel scalability study of hybrid preconditioners in three dimensions. Parallel Computing, 34:363-379, 2008.
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[91] S. Gratton, M. Mouffe, Ph.L. Toint, and M. Weber-Mendonca. A recursive l trust-region method for bound-constrained nonlinear optimization. IMA J Numer Anal, 28(4):827-861, 2008.
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[92] S. Gratton, A. Sartenaer, and P. L. Toint. Recursive trust-region methods for multiscale nonlinear optimization. SIAM Journal on Optimization, 19(1):414-444, 2008.
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[93] A. S. Lawless, N. K. Nichols, C. Boess, and A. Bunse-Gerstner. Approximate Gauss-Newton methods for optimal state estimation using reduced order models. Int. J. Numer. Methods in Fluids, 56:1367-1373, 2008.
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[94] A. S. Lawless, N. K. Nichols, C. Boess, and A. Bunse-Gerstner. Using model reduction methods within incremental four-dimensional variational data assimilation. Monthly Weather Review, 136(4):1511-1522, 2008.
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[95] J. Tshimanga, S. Gratton, A. T. Weaver, and A. Sartenaer. Limited-memory preconditioners, with application to incremental four-dimensional variational data assimilation. Quarterly Journal of the Royal Meteorological Society, 134(632):751-769, 2008.
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[96] P. Avery and C. Farhat. The FETI family of domain decomposition methods for inequality-constrained quadratic programming: Application to contact problems with conforming and nonconforming interfaces. Computer Methods in Applied Mechanics and Engineering, 198(21-26):1673-1683, 2009. Preliminary version available as CERFACS Technical Report TR/PA/09/51.
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[97] P. Avery, C. Farhat, and U. Hetmaniuk. A Padé-based factorization-free algorithm for identifying the eigenvalues missed by a generalized symmetric eigensolver. Int. J. Numer. Methods. Eng., 79(2):239-252, 2009. Preliminary version available as CERFACS Technical Report TR/PA/09/53.
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[98] M. Baboulin, J. Dongarra, S. Gratton, and J. Langou. Computing the conditioning of the components of a linear least squares solution. Numerical Linear Algebra with Applications, 16(7):517-533, 2009. Preliminary version available as CERFACS Technical Report TR/PA/09/46.
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[99] M. Baboulin, L. Giraud, S. Gratton, and J. Langou. Parallel tools for solving incremental dense least squares problems: application to space geodesy. Journal of Algorithms and Computational Technology, 3(1):117-133, 2009. Preliminary version available as CERFACS Technical Report TR/PA/06/63.
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[100] M. Baboulin and S. Gratton. Using dual techniques to derive componentwise and mixed condition numbers for a linear functional of a linear least squares solution. BIT, 49(1):3-19, 2009. Preliminary version available as CERFACS Technical Report TR/PA/09/47.
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[101] Z.-Z. Bai, I. S. Duff, and J.-F. Yin. Numerical study on incomplete orthogonal factorization preconditioners. J. Computational and Applied Mathematics, 226:22-41, 2009. Preliminary version available as CERFACS Technical Report TR/PA/08/24.
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[102] I. S. Duff. The design and use of a sparse direct solver for skew symmetric matrices. J. Computational and Applied Mathematics, 226:50-54, 2009. Preliminary version available as CERFACS Technical Report TR/PA/07/04.
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[103] M. B. Fares, S. Gratton, and Ph. L. Toint. Svd-tail: a new linear-sampling reconstruction method for inverse scattering problems,. Inverse Problems, 25(9):doi: 10.1088/0266-5611/25/9/095013, 2009. Preliminary version available as CERFACS Technical Report TR/PA/09/45.
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[104] L. Giraud and A. Haidar. Parallel algebraic hybrid solvers for large 3D convection-diffusion problems. Numerical Algorithms, 51(2):151-177, 2009.
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[105] S. Gratton and J. Tshimanga. An observation-space formulation of variational assimilation using a restricted preconditioned conjugate gradient algorithm. Quarterly Journal of the Royal Meteorological Society, 135(643):1573-1585, 2009.
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[106] A. Lannes and S. Gratton. Gnss networks in algebraic graph theory. Journal of Global Positioning Systems, 8(1):1-23, 2009.
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[107] A. Lannes and S. Gratton. Qr implementation of gnss centralized approaches. Journal of Global Positioning Systems, 7(2):133-147, 2009.
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[108] A. Trefethen, N. Higham, I. Duff, and P. V. Coveney. Developing a high- performance computing/numerical analysis roadmap. Int. J. of High Performance Computing Applications, 23(4):423-426, 2009.
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[109] P. Amestoy, I.S. Duff, A. Guermouche, and Tz. Slavova. Analysis of the solution phase of a parallel multifrontal approach. Parallel Computing, 36(1):3-15, 2010. Preliminary version available as CERFACS Technical Report TR/PA/08/82.
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[110] F. Bastin, V. Malmedy, M. Mouffe, Ph. L. Toint, and D. Tomanos. A retrospective trust-region method for unconstrained optimization. Mathematical Programming, 123(2):395-418, 2010.
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[111] C. Calude and F. Chatelin. A dialogue about qualitative computing. Bulletin of EATCS (European Association for Theoretical Computer Science), 101:29-41, 2010. Preliminary version available as CERFACS Technical Report TR/PA/10/37.
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[112] F. Chatelin. Numerical information processing under the global rule expressed by the Euler-Riemann zeta function defined in the complex plane. Chaos, Focus issue: intrinsic and designed computation: information processing in dynamical systems, 20(037104-1), 2010. Preliminary version available as CERFACS Technical Report TR/PA/10/49.
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[113] I. S. Duff and B. Uçar. On the block triangular form of symmetric matrices. SIAM Review, 52(3):455-470, 2010. Preliminary version available as CERFACS Technical Report TR/PA/09/57.
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[114] M. B. Fares, S. Gratton, and Ph. L. Toint. Fast regularized linear sampling for inverse scattering problems,. Numerical Linear Algebra and Applications, published online 22 February 2010, DOI: 10.1002/nla.698, 2010.
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[115] M. Fuchs and A. Neumaier. A splitting technique for discrete search based on convex relaxation. Journal of Uncertain Systems, Special Issue on Global Optimization and Intelligent Algorithm, 4(1):14-21, 2010. Preliminary version available as CERFACS Technical Report TR/PA/10/5.
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[116] D. Ghosh, Ph. Avery, and Ch. Farhat. A FETI-preconditioned conjugate gradient method for large-scale stochastic finite element problems. Int. J. Numerical Methods in Engineering, 80(6-7):914-931, 2010. Preliminary version available as CERFACS Technical Report TR/PA/09/52.
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[117] L. Giraud, S. Gratton, X. Pinel, and X. Vasseur. Flexible GMRES with deflated restarting. SIAM Journal on Scientific Computing, 32(4):1858-1878, 2010. Preliminary version available as CERFACS Technical Report TR/PA/09/111.
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[118] S. Gratton, M. Mouffe, A. Sartenaer, Ph .L. Toint, and D. Tomanos. Numerical experience with a recursive trust-region method for multilevel nonlinear optimization. Optimization Methods and Software, 25(3):359-386, 2010. Preliminary version available as CERFACS Technical Report TR/PA/09/48.
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[119] S. Gratton and Ph. L. Toint. Approximate invariant subspaces and quasi-Newton optimization methods. Optimization Methods and Software, 25(4):507-529, 2010. Preliminary version available as CERFACS Technical Report TR/PA/09/165.
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[120] X.-P. Guo and I. S. Duff. Semilocal and global convergence of the Newton-HSS method for systems of nonlinear equations. Numerical Linear Algebra and Applications, published online 28 June 2010, DOI: 10.1002/nla.713, 2010.
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[121] P. Jiránek and M. Rozloznik. Adaptive version of simpler gmres. Numerical Algorithms, 53(1):93-112, 2010. Preliminary version available as CERFACS Technical Report TR/PA/08/101.
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[122] P. Jiránek, Z. Strakos, and M. Vohralík. A posteriori error estimates including algebraic error and stopping criteria for iterative solvers. SIAM J. Scientific Computing, 32(3):1567-1590, 2010.
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[123] P. Jiránek and D. Titley-Peloquin. Estimating the backward error in LSQR. SIAM J. Matrix Analysis and Applications, 31(4):2055-2074, 2010. Preliminary version available as CERFACS Technical Report TR/PA/09/77.
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[124] M. Baboulin and S. Gratton. A contribution to the conditioning of the total least-squares problem. SIAM Journal on Matrix Analysis and Applications, 32:685-699, 2011.
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[125] L.M. Carvalho, S. Gratton, R. Lago, and X. Vasseur. A flexible generalized conjugate residual method with inner orthogonalization and deflated restarting. SIAM Journal on Matrix Analysis and Applications, 32(4):1212-1235, 2011. Preliminary version available as CERFACS Technical Report TR/PA/10/10.
BibTeX entry
[126] I. Duff and D. Mijuca. On accurate and time efficient solution of primal-mixed finite element equations in multiscale solid mechanics. International Journal for Numerical Methods in Biomedical Engineering, 27(95-112), 2011. Preliminary version available as CERFACS Technical Report TR/PA/09/67.
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[127] M. B. Fares, S. Gratton, and Ph. L. Toint. Fast regularized linear sampling for inverse scattering problems. Numerical Linear Algebra and Applications, 18(1):95-112, 2011.
BibTeX entry
[128] S. Gratton, P. Laloyaux, A. Sartenaer, and J. Tshimanga. A reduced and limited-memory preconditioned approach for the 4d-var data-assimilation problem. Quarterly Journal of the Royal Meteorological Society, 137(452-466), 2011. Preliminary version available as CERFACS Technical Report TR/PA/09/98.
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[129] S. Gratton, M. Mouffe, and Ph.L. Toint. Stopping rules and backward error analysis for bound-constrained optimization. Numerische Mathematik, 119(163-187), 2011. Preliminary version available as CERFACS Technical Report TR/PA/09/95.
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[130] S. Gratton, A. Sartenaer, and J. Tshimanga. On a class of limited memory preconditioners for large scale linear systems with multiple right-hand sides. SIAM Journal on Optimization, 21(3):912-935, 2011. Preliminary version available as CERFACS Technical Report TR/PA/09/99.
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[131] S. Gratton, Ph. L. Toint, and J. Tshimanga Ilunga. Inexact range-space Krylov solvers for linear systems arising from inverse problems,. SIAM Journal on Matrix Analysis and Applications, 32(3):969-986, 2011. Preliminary version available as CERFACS Technical Report TR/PA/10/141.
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[132] S. Gratton, Ph.L. Toint, and A. Tröltzsch. An active set trust-region method for derivative-free nonlinear bound-constrained optimization. Optimization Methods and Software, 26(4-5):875-896, 2011. Preliminary version available as CERFACS Technical Report TR/PA/10/70.
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[133] X. Guo and I. S. Duff. Semilocal and global convergence of the Newton-HSS method for systems of nonlinear equations. Numerical Linear Algebra and Applications, 29:299-315, 2011. Preliminary version available as CERFACS Technical Report TR/PA/10/14.
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[134] G. Ramillien, R. Biancale, S. Gratton, X. Vasseur, and S. Bourgogne. Grace-derived surface mass anomalies by energy integral approach. Application to continental hydrology. Journal of Geodesy, 85(6):313-328, 2011.
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