Inherently parallel algorithms in feasibility and applications

Preface. A log-quadratic projection method for convex feasibility problems (A. Auslender, M. Teboulle). Projection algorithms: Results and open problems (H.H. Bauschke). Joint and separate convexity of the bregman distance (H.H. Bauschke, J.M. Borwein). A parallel algorithm for non-cooperative resource allocation games (L.M. Bregman, I.N. Fokin). Asymptotic behavior of quasi-nonexpansive mappings (D. Butnariu, S. Reich, A.J. Zaslavski). The outer bregman projection method for stochastic feasibility problems in banach spaces (D. Butnariu, E. Resmerita). Bregman-legendre multidistance projection algorithms for convex feasibility and optimization (C. Byrne). Averaging strings of sequential iterations for convex feasibility problems (Y. Censor, T. Elfving, G.T. Herman). Quasi-fejerian analysis of some optimization algorithms (P.L. Combettes). On the theory and practice of row relaxation methods (A. Dax). From parallel to sequential projection methods and vice versa in convex feasibility: Results and conjectures (A.R. De Pierro). Accelerating the convergence of the method of alternating projections via line search: A brief survey (F. Deutsch). PICO: An object-oriented framework for parallel branch and bound (J. Eckstein, C.A. Phillips, W.E. Hart). Approaching equilibrium in parallel (S.D. Flam). Generic convergence of algorithms for solving stochastic feasibility problems (M. Gabour, S. Reich, A.J. Zaslavski). Superlinear rate of convergence and optimal acceleration schemes in the solution of convex inequality problems (M. Garcia-Palomares). Algebraic reconstruction techniques using smooth basis functions for helical cone-beam tomography (G.T. Herman, S. Matej, B.M. Carvalho). Compact operators as products of projections (H.S. Hundal). Parallel subgradient methods for convex optimization (K.C. Kiwiel, P.O. Lindberg). Directional halley and quasi-halley methods in N variables (Y. Levin, A. Ben-Israel). Ergodic convergence to a zero of the extended sum of two maximal monotone operators (A. Moudafi, M. Thera). Distributed asynchronous incremental subgradient methods (A. Nedic, D.P. Bertsekas, V.S. Borkar). Random algorithms for solving convex inequalities (B.T. Polyak). Parallel iterative methods for sparse linear systems (Y. Saad). On the relation between bundle methods for maximal monotone inclusions and hybrid proximal point algorithms (C.A. Sagastizabal, M.V. Solodov). New optimized and accelerated PAM methods for solving large non-symmetric linear systems: Theory and practice (H. Scolnik, N. Echebest, M.T. Guardarucci, M.C. Vacchino). The hybrid steepest descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings (I. Yamada).