Large-Scale Nonlinear Optimization [Hardcover]

This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. Individual chapters, contributed by eminent authorities, provide an up-to-date overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.

Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.

The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.

Fast Linear Algebra for Multiarc Trajectory Optimization (Nicolas B?rend, J. Fr?d?ric Bonnans, Julien Laurent-Varin, MounirHaddou, Christophe Talbot).- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization (Dimitri P. Bertsekas).- n O(n^2) Algorithm for Isotonic Regression (Oleg Burdakov, Oleg Sysoev, Anders Grimvall, Mohamed Hussian).- Knitro: An Integrated Package for Nonlinear Optimization (Richard H. Byrd, Jorge Nocedal, Richard A. Waltz).- On implicit-factorization constraint preconditioners (H. Sue Dollar, Nicholas I. M. Gould, Andrew J. Wathen).- Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum (Zdenek Dost?l).- Numerical methods for separating two polyhedra (Yury G. Evtushenko, Alexander I. Golikov, Saed Ketabchi).- Exact penalty functions for generalized Nash problems (Francisco Facchinei, Jong-Shi Pang).- Parametric Sensitivl£B