Analysis and Algorithms of Optimization Problems
Published on 1. June 1986
Book
Paperback/Softback
VIII, 241 pages
978-3-540-16660-3 (ISBN)
Description
Differential stability of projection in Hilbert space onto convex set. Applications to sensitivity analysis of optimal control problems.- Sensitivity of solutions to convex optimal control problems for parabolic equations.- Parametric optimization problems for evolution initial - boundary value problems.- Finite element approximation of an optimal design problem for free vibrating plates.- The design of a two-dimensional domain.- Numerical treatment of variational inequality governing multidimensional two-phase stefan problem.- Improvement of an algorithm for the computation of optimal control.- Quasi-optimal feedback for linear differential games.- Suboptimal strategies for Nash nonlinear differential games.- Quasi - Subgradient algorithms for calculating surrogate constraints.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
35 s/w Abbildungen
VIII, 241 p. 35 illus.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 14 mm
Weight
442 gr
ISBN-13
978-3-540-16660-3 (9783540166603)
DOI
10.1007/BFb0007153
Schweitzer Classification
Content
Differential stability of projection in Hilbert space onto convex set. Applications to sensitivity analysis of optimal control problems.- Sensitivity of solutions to convex optimal control problems for parabolic equations.- Parametric optimization problems for evolution initial - boundary value problems.- Finite element approximation of an optimal design problem for free vibrating plates.- The design of a two-dimensional domain.- Numerical treatment of variational inequality governing multidimensional two-phase stefan problem.- Improvement of an algorithm for the computation of optimal control.- Quasi-optimal feedback for linear differential games.- Suboptimal strategies for Nash nonlinear differential games.- Quasi - Subgradient algorithms for calculating surrogate constraints.