Buch, Englisch, 158 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 413 g
Buch, Englisch, 158 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 413 g
ISBN: 978-0-7923-9862-2
Verlag: Springer Us
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
Weitere Infos & Material
A Comparison of Large Scale Mixed Complementarity Problem Solvers.- Impact of Partial Separability on Large-Scale Optimization.- On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds.- Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization.- Sparse Linear Least Squares Problems in Optimization.- Simulated Annealing and Genetic Algorithms for the Facility Layout Problem: A Survey.- Sequential Quadratic Programming Methods for Large-Scale Problems.- A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization.
