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Constrained Optimization and Optimal Control for Partial Differential Equations [electronic resource] /

edited by Günter Leugering, Sebastian Engell, Andreas Griewank, Michael Hinze, Rolf Rannacher, Volker Schulz, Michael Ulbrich, Stefan Ulbrich.

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Names: Leugering, Günter. | Engell, Sebastian. | Griewank, Andreas. | Hinze, Michael. | Rannacher, Rolf. | Schulz, Volker. | Ulbrich, Michael. | Ulbrich, Stefan.
Published: Basel : Springer Basel, 2012.
Series: International Series of Numerical Mathematics ; 160
Topics: Mathematics. | Differential equations, partial. | Computer science - Mathematics. | Mathematical optimization. | Mathematics. | Partial Differential Equations. | Optimization. | Computational Mathematics and Numerical Analysis.
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245 10|aConstrained Optimization and Optimal Control for Partial Differential Equations|h[electronic resource] /|cedited by Günter Leugering, Sebastian Engell, Andreas Griewank, Michael Hinze, Rolf Rannacher, Volker Schulz, Michael Ulbrich, Stefan Ulbrich.
264 1|aBasel :|bSpringer Basel,|c2012.
300 |aXII, 624 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aInternational Series of Numerical Mathematics ;|v160
505 0 |aIntroduction -- Constrained Optimization, Identification and Control -- Shape and Topology Optimization -- Model Reduction -- Discretization: Concepts and Analysis -- Applications.
520 |aThis special volume focuses on optimization and control of processes governed by partial differential equations. The contributors are mostly participants of the DFG-priority program 1253: Optimization with PDE-constraints which is active since 2006. The book is organized in sections which cover almost the entire spectrum of modern research in this emerging field. Indeed, even though the field of optimal control and optimization for PDE-constrained problems has undergone a dramatic increase of interest during the last four decades, a full theory for nonlinear problems is still lacking. The contributions of this volume, some of which have the character of survey articles, therefore, aim at creating and developing further new ideas for optimization, control and corresponding numerical simulations of systems of possibly coupled nonlinear partial differential equations. The research conducted within this unique network of groups in more than fifteen German universities focuses on novel methods of optimization, control and identification for problems in infinite-dimensional spaces, shape and topology problems, model reduction and adaptivity, discretization concepts and important applications. Besides the theoretical interest, the most prominent question is about the effectiveness of model-based numerical optimization methods for PDEs versus a black-box approach that uses existing codes, often heuristic-based, for optimization.
650 0|aMathematics.
650 0|aDifferential equations, partial.
650 0|aComputer science|xMathematics.
650 0|aMathematical optimization.
650 14|aMathematics.
650 24|aPartial Differential Equations.
650 24|aOptimization.
650 24|aComputational Mathematics and Numerical Analysis.
700 1 |aLeugering, Günter.|eeditor.
700 1 |aEngell, Sebastian.|eeditor.
700 1 |aGriewank, Andreas.|eeditor.
700 1 |aHinze, Michael.|eeditor.
700 1 |aRannacher, Rolf.|eeditor.
700 1 |aSchulz, Volker.|eeditor.
700 1 |aUlbrich, Michael.|eeditor.
700 1 |aUlbrich, Stefan.|eeditor.
710 2 |aSpringerLink (Online service)
773 0 |tSpringer eBooks
776 08|iPrinted edition:|z9783034801324
830 0|aInternational Series of Numerical Mathematics ;|v160
852 80|beitem|hSpringer|t1
856 40|uhttp://libweb.ben.edu/login?source=opac&url=http://dx.doi.org/10.1007/978-3-0348-0133-1|yLink to Constrained Optimization and Optimal Control for Partial Differential Equations|z(access limited to Benedictine University patrons)
912 |aZDB-2-SMA
950 |aMathematics and Statistics (Springer-11649)

Staff View for: Constrained Optimization and Optimal Con