An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms

The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities, generate a new iterate xk+1 by projecting the current point xk onto a separating hyperplane generated by a given linear combination of the original hyperplanes or half-spaces. In [12] we introduced...

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Autor principal: Echebest, N.
Otros Autores: Guardarucci, M.T, Scolnik, H., Vacchino, M.C
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: Springer Netherlands 2004
Acceso en línea:Registro en Scopus
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100 1 |a Echebest, N. 
245 1 3 |a An acceleration scheme for solving convex feasibility problems using incomplete projection algorithms 
260 |b Springer Netherlands  |c 2004 
506 |2 openaire  |e Política editorial 
504 |a Bramley, R., Sameh, A., Row projection methods for large nonsymmetric linear systems (1992) SIAM J. Sci. Statist. Comput., 13, pp. 168-193 
504 |a Censor, Y., Parallel application of block-iterative methods in medical imaging and radiation therapy (1988) Math. Programming, 42, pp. 307-325 
504 |a Censor, Y., Zenios, S., (1997) Parallel Optimization: Theory and Applications, , Oxford Univ. Press, New York 
504 |a Cimmino, G., Calcolo approssimato per le soluzioni dei sistemi di equazioni lineari (1938) Ric. Sci., 16, pp. 326-333 
504 |a García-Palomares, U.M., Parallel projected aggregation methods for solving the convex feasibility problem (1993) SIAM J. Optim., 3, pp. 882-900 
504 |a García-Palomares, U.M., González-Castaño, F.J., Incomplete projection algorithms for solving the convex feasibility problem (1998) Numer. Algorithms, 18, pp. 177-193 
504 |a Gubin, L.G., Polyak, B.T., Raik, E.V., The method of projections for finding the common point of convex sets (1967) USSR Comput. Math. Math.Phys., 7, pp. 1-24 
504 |a Herman, G.T., Meyer, L.B., Algebraic reconstruction techniques can be made computationally efficient (1993) IEEE Trans. Medical Imaging, 12, pp. 600-609 
504 |a Saad, Y., SPARSKIT: A basic tool kit for sparse matrix computations (1990) Technical Report 90-20, , Research Institute for Avanced Computer Science. NASA Ames Research Center, Moffet Field, CA 
504 |a Scolnik, H.D., Echebest, N., Guardarucci, M.T., Vacchino, M.C., A class of optimized row projection methods for solving large non-symmetric linear systems (2002) Appl. Numer. Math., 41 (4), pp. 499-513 
504 |a Scolnik, H.D., Echebest, N., Guardarucci, M.T., Vacchino, M.C., Acceleration scheme for parallel projected aggregation methods for solving large linear systems (2002) Ann. Oper. Res., 117 (1-4), pp. 95-115 
504 |a Scolnik, H.D., Echebest, N., Guardarucci, M.T., Vacchino, M.C., New optimized and accelerated PAM methods for solving large non-symmetric linear systems: Theory and practice (2001) Inherently Parallel Algorithms in Feasibility and Optimization and their Applications, 8. , eds. D. Butnariu, Y. Censor and S. Reich, Studies in Computational Mathematics (Elsevier Science, Amsterdam 
520 3 |a The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities, generate a new iterate xk+1 by projecting the current point xk onto a separating hyperplane generated by a given linear combination of the original hyperplanes or half-spaces. In [12] we introduced acceleration schemes for solving systems of linear equations by applying optimization techniques to the problem of finding the optimal combination of the hyperplanes within a PAM like framework. In this paper we generalize those results, introducing a new accelerated iterative method for solving systems of linear inequalities, together with the corresponding theoretical convergence results. In order to test its efficiency, numerical results obtained applying the new acceleration scheme to two algorithms introduced by García-Palomares and González- Castaño [6] are given.  |l eng 
593 |a Departamento de Matemática, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Argentina 
593 |a Departamento de Computación, Fac. de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina 
690 1 0 |a AGGREGATED PROJECTION METHODS 
690 1 0 |a INCOMPLETE PROJECTIONS 
690 1 0 |a SYSTEMS OF INEQUALITIES 
700 1 |a Guardarucci, M.T. 
700 1 |a Scolnik, H. 
700 1 |a Vacchino, M.C. 
773 0 |d Springer Netherlands, 2004  |g v. 35  |h pp. 331-350  |k n. 2-4  |p Numer. Algorithms  |x 10171398  |t Numerical Algorithms 
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