Approximation Methods in Optimization of Nonlinear Systems / / Peter I. Kogut, Olga P. Kupenko.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• VerfasserIn: Kogut, Peter I.,; Kupenko, Olga P.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2019]; ©2020
• Year of Publication: 2019
• Language: English
• Series: De Gruyter Series in Nonlinear Analysis and Applications , 32
• Physical Description: 1 online resource (XIII, 338 p.)
• Other title: Frontmatter --; Preface --; Contents --; Introduction --; 1. Optimal Distributed Control Problem for an Ill-Posed Strongly Nonlinear Elliptic Equation with p-Laplace Operator and L1-Type of Nonlinearity --; 2. On Approximation of One Class of Optimal Control Problems for Strongly Nonlinear Elliptic Equations with p-Laplace Operator --; 3. Neumann Boundary Optimal Control Problem for Strongly Nonlinear Elliptic Equation with p-Laplace Operator --; 4. Asymptotic Analysis of Optimal Neumann Boundary Control Problem in Domain with Boundary Oscillation for Elliptic Equation with Exponential Non-Linearity --; 5. On Optimal and Quasi-Optimal Controls in Coefficients for Multi-Dimensional Thermistor Problem with Mixed Dirichlet-Neumann Boundary Conditions --; 6. Approximation of an Optimal Control Problem in Coefficient for Variational Inequality with Anisotropic p-Laplacian --; 7. On Unbounded Optimal Controls in Coefficients for Ill-Posed Elliptic Dirichlet Boundary Value Problems --; 8. On Optimal L1-Control in Coefficients for Quasi-Linear Dirichlet Boundary Value Problem with BMO-Anisotropic p-Laplacian --; Bibliography
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110668520; 9783110696288; 9783110696271; 9783110610765; 9783110664232; 9783110610406; 9783110606362
• ISSN: 0941-813X
• DOI: 10.1515/9783110668520
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Peter I. Kogut, Olga P. Kupenko.

The monograph addresses some problems particularly with regard to ill-posedness of boundary value problems and problems where we cannot expect to have uniqueness of their solutions in the standard functional spaces. Bringing original and previous results together, it tackles computational challenges by exploiting methods of approximation and asymptotic analysis and harnessing differences between optimal control problems and their underlying PDEs