Computational Issues in High Performance Software for Nonlinear Optimization
Almerico Murli, Gerardo Toraldo
Springer, Jun 14, 2007 - Business & Economics - 158 pages
Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area.
Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.
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algorithm NMonNC applications approximation automatic differentiation bounds columns complementarity problems constraints convergence Cray C90 defined diagonal efficient ELSO evaluation facility layout problem fail fail fail Genetic Algorithms hand-coded Hessian matrix hybrid AD option implementation inner iteration interior point Jacobian matrix Lagrangian Lanczos least squares problems linear least squares linear programming linesearch Mathematical Programming MATLAB Matstoms merit function minimize mixed complementarity problems Moré MPSGE multifrontal negative curvature direction nodes nonlinear nonlinear complementarity problem normal equations objective function obtained Operations Research optimization problems parameter Pardalos performance pgvon procedure processors QP subproblem QR factorization Quadratic Assignment Problem quasi-Newton ROBO Sammge satisfies search directions SIAM Simulated Annealing solution solver solving sparse linear least sparse matrix sparsity pattern Step strategy structure sufficiently large SYMMLQ Table test problems Toint trust region unconstrained update variables vector