Domain decomposition and balanced truncation model reduction for shape optimization of the Stokes system

Optimization Methods and Software

Volumn 26, Issue 4-5, 2011, Pages 643-669

  Antil, H ^a   Heinkenschloss, M ^a   Hoppe, R H W ^b,c  

^a Rice University   (United States)

^b University of Houston   (United States)

^c UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

balanced truncation model reduction; domain decomposition; microfluidic biochips; shape optimization; time dependent Stokes system

Indexed keywords

BALANCED TRUNCATION; CAPILLARY BARRIERS; CLINICAL DIAGNOSTICS; COMPUTATIONAL DOMAINS; DESIGN ISSUES; DOMAIN DECOMPOSITION TECHNIQUES; DOMAIN DECOMPOSITIONS; EXPLICIT ERROR BOUNDS; FULL-ORDER MODELS; GENOMICS; HIGH-THROUGHPUT SCREENING; LARGE-SCALE OPTIMIZATION; LIFE-SCIENCES; MICROFLUIDIC BIOCHIPS; MODELLING ERROR; MODELLING TECHNIQUES; MULTIPHYSICS PROBLEMS; MULTISCALES; OPTIMAL DESIGN; PROPER ORTHOGONAL DECOMPOSITIONS; PROTEIN PROFILING; PROTEOMICS; REDUCED BASIS METHODS; REDUCED ORDER; REDUCED ORDER MODELS; SHAPE OPTIMIZATION PROBLEM; STOKES SYSTEM; TIME-DEPENDENT; UNDERLYING SYSTEMS;

BIOASSAY; BIOCHIPS; COMPUTATIONAL COMPLEXITY; CONTROL THEORY; DESIGN; DOMAIN DECOMPOSITION METHODS; ERROR ANALYSIS; MICROFLUIDICS; MOLECULAR BIOLOGY; OPTIMAL SYSTEMS; PARTIAL DIFFERENTIAL EQUATIONS; PRINCIPAL COMPONENT ANALYSIS; STRUCTURAL OPTIMIZATION; TOPOLOGY;

SHAPE OPTIMIZATION;

EID: 80053235434     PISSN: 10556788     EISSN: 10294937     Source Type: Journal    
DOI: 10.1080/10556781003767904     Document Type: Conference Paper

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