000 04166nam a22004695i 4500
001 u373386
003 SIRSI
005 20160812084143.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783642015021
_9978-3-642-01502-1
040 _cMX-MeUAM
050 4 _aTA357-359
082 0 4 _a620.1064
_223
100 1 _aHazra, Subhendu Bikash.
_eauthor.
245 1 0 _aLarge-Scale PDE-Constrained Optimization in Applications
_h[recurso electrónico] /
_cby Subhendu Bikash Hazra.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXXII, 201 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Applied and Computational Mechanics,
_x1613-7736 ;
_v49
505 0 _aPartial Differential Equations in Mathematical Modeling of Fluid Flow Problems -- PDE-Constrained Optimization Methods -- I: Applications in Environmental Engineering -- Mathematical Model of Multiphase Flow through Porous Media -- Parameter Identification in Multiphase Flow through Porous Media -- II: Applications in Aerodynamics -- Simultaneous Pseudo-Time-Stepping for PDE-Model Based Optimization Problems -- Aerodynamic Shape Optimization Using Simultaneous Pseudo-Time-Stepping -- Indirect Treatment of State Constraints in Aerodynamic Shape Optimization Using Simultaneous Pseudo-Time-Stepping -- Direct Treatment of State Constraints in Aerodynamic Shape Optimization Using Simultaneous Pseudo-Time-Stepping -- Multigrid One-Shot Pseudo-Time-Stepping Method for Aerodynamic Shape Optimization -- Multigrid One-Shot Pseudo-Time-Stepping Method for State Constrained Aerodynamic Shape Optimization -- One-Shot Pseudo-Time-Stepping Method for Aerodynamic Shape Optimization Using the Navier-Stokes Equations.
520 _aThis book results from the authors work done on simulation based optimization problems at the Department of Mathematics, University of Trier, and reported in his postdoctoral thesis (”Habilitationsschrift”) accepted by the Faculty-IV of this University in 2008. The focus of the work has been to develop mathematical methods and algorithms which lead to efficient and high performance computational techniques to solve such optimization problems in real-life applications. Systematic development of the methods and algorithms are presented here. Practical aspects of implementations are discussed at each level as the complexity of the problems increase, supporting with enough number of computational examples. It consists of two parts: first part deals with time dependent optimization problems with applications in environmental engineering and the second part deals with steady state optimization problems, in which the PDEs are solved using semi-iterative or pseudo-time-stepping techniques, with applications in aerodynamics. This book will be useful for scientists and engineers who are looking for efficient numerical methods for PDE-constrained optimization problems. It will be helpful for graduate and Ph.D. students in applied mathematics, aerospace engineering, mechanical engineering, civil engineering and computational engineering during their training and research. This also will provide exciting research and development areas involving realistic applications.
650 0 _aEngineering.
650 0 _aComputer science.
650 0 _aHydraulic engineering.
650 1 4 _aEngineering.
650 2 4 _aEngineering Fluid Dynamics.
650 2 4 _aFluid- and Aerodynamics.
650 2 4 _aComputational Science and Engineering.
650 2 4 _aNumerical and Computational Physics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642015014
830 0 _aLecture Notes in Applied and Computational Mechanics,
_x1613-7736 ;
_v49
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-01502-1
596 _a19
942 _cLIBRO_ELEC
999 _c201266
_d201266