Finite-Dimensional Variational Inequalities and Complementarity ProblemsSpringer Science & Business Media, 2007 M06 14 - 693 páginas The ?nite-dimensional nonlinear complementarity problem (NCP) is a s- tem of ?nitely many nonlinear inequalities in ?nitely many nonnegative variables along with a special equation that expresses the complementary relationship between the variables and corresponding inequalities. This complementarity condition is the key feature distinguishing the NCP from a general inequality system, lies at the heart of all constrained optimi- tion problems in ?nite dimensions, provides a powerful framework for the modeling of equilibria of many kinds, and exhibits a natural link between smooth and nonsmooth mathematics. The ?nite-dimensional variational inequality (VI), which is a generalization of the NCP, provides a broad unifying setting for the study of optimization and equilibrium problems and serves as the main computational framework for the practical solution of a host of continuum problems in the mathematical sciences. The systematic study of the ?nite-dimensional NCP and VI began in the mid-1960s; in a span of four decades, the subject has developed into a very fruitful discipline in the ?eld of mathematical programming. The - velopments include a rich mathematical theory, a host of e?ective solution algorithms, a multitude of interesting connections to numerous disciplines, and a wide range of important applications in engineering and economics. As a result of their broad associations, the literature of the VI/CP has bene?ted from contributions made by mathematicians (pure, applied, and computational), computer scientists, engineers of many kinds (civil, ch- ical, electrical, mechanical, and systems), and economists of diverse exp- tise (agricultural, computational, energy, ?nancial, and spatial). |
Contenido
Contents of Volume II | 92 |
Interior and Smoothing Methods 989 | 94 |
Solution Analysis I | 125 |
Global Methods for Nonsmooth Equations 723 | 236 |
Solution Analysis II | 243 |
Methods for Monotone Problems 1107 | 335 |
The Euclidean Projector and Piecewise Functions | 339 |
Sensitivity and Stability | 419 |
Algorithms for VIs 891 | 431 |
6 | 516 |
Theory of Error Bounds | 531 |
55 | 1 |
Bibliography for Volume II II1 | 2 |
| 51 | |
| 56 | |
Términos y frases comunes
affine affine function algorithm analysis arbitrary assume belongs closed convex set coherently oriented complementarity problem continuous function continuously differentiable converging convex cone convex function convex set copositive Corollary CRCQ deduce defined definition denote dist(x equations equilibrium equivalent error bound establish Euclidean feasible finite gi(x global holds implies index set JF(x KKT system Lemma Let F linear Lipschitz continuous Lipschitz homeomorphism locally Lipschitz Mathematical Programming matrix MFCQ Moreover natural map NCP F nonempty nonlinear nonlinear program nonnegative nonsingular nonzero normal map open neighborhood open set optimization problem pair polyhedral polyhedron positive scalars positive semidefinite projector proof Proposition pseudo monotone satisfying Schur complement semicopositive sequence set-valued map SOL(K solution set stability subset Suppose Theorem theory unique solution variational inequalities vector vectors q VI/CP xref zero
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System Modeling and Optimization XX: IFIP TC7 20th Conference on System ... E.W. Sachs,R. Tichatschke Vista previa limitada - 2003 |
