Buch, Englisch, Band 36, 492 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 750 g
Reihe: Applied Optimization
Buch, Englisch, Band 36, 492 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 750 g
Reihe: Applied Optimization
ISBN: 978-1-4419-4823-6
Verlag: Springer US
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
Weitere Infos & Material
Generalized Lagrange multipliers: regularity and boundedness.- A primal-dual algorithm for minimizing a non-convex function subject to bound and linear equality constraints.- Minimal convexificators of a positively homogeneous function and a characterization of its convexity and concavity.- Optimal control problems and penalization.- A truncated Newton method for constrained optimization.- Fixed and virtual stability center methods for convex nonsmooth minimization.- Iterative methods for ill-conditioned linear systems from optimization.- An algorithm for solving nonlinear programs with noisy inequality constraints.- Generic existence, uniqueness and stability in optimization problems.- On a class of bilevel programs.- Separation methods for vector variational inequalities. Saddle point and gap function.- Functions with primal-dual gradient structure and U-Hessians.- Quadratic and multidimensional assignment problems.- A new merit function and an SQP method for non-strictly monotone variational inequalities.- A logarithmic barrier approach to Fischer function.- On an approach to optimization problems with a probabilistic cost and or constraints.- Semiderivative functions and reformulation methods for solving complementarity and variational inequality problems.- Global Lagrange multiplier rule and smooth exact penalty functions for equality constraints.- Structural methods in the solution of variational inequalities.- Extended nonlinear programming.- On the efficiency of splitting and projection methods for large strictly convex quadratic programs.- A comparison of rates of convergence of two inexact proximal point algorithms.- One way to construct a global search algorithm for d. c. minimization problems.- Error bounds and superlinear convergence analysis of some Newton-type methods in optimization.- A new derivative-free descent method for the nonlinear complementarity problem.