Advances in Numerical Partial Differential Equations and Optimization: Proceedings of the Fifth Mexico-United States Workshop

An efficient line search for convex piecewise-linear/quadratic functions, Ron S.Dembo and Robin Anderson stopping tests that compute optimal solutions for interior-point linear programming algorithms, D.Gay iterative gradient-Newton type methods for steady shock computations, B. Engquist and Q.Q.Huynh applications of adaptavie grid-refinement methods, R.E.Ewing, et al approximate inverse preconditionings for nonsymmetric sparse systems, J.D.F.Cosgrove, et al on generalized finite difference methods for approximating solutions to integral equations, G.D. Allen and P.Nelson, Jr. fast elliptic solvers using mixed-hybrid nodal finite elements, J.P.Hennart and E.del Valle computing eigenvalues of large matrices, some lanczos algorithms and a shift and invert strategy, J.K.Cullum and Ralph A.Willoughby large scale extended linear-quadratic programming and multistage optimization, R.T.Rockafessar a numerical method for the three dimensional inverse acoustic scattering problem with incomplete data, F.Aluffi-Pentini, et al relation between the regularization and the multipliers method for the min-max problem, C. Gigola and S.Gomez.