Reduced-order modeling of complex systems with multiple system parameters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3743 LNCS, Issue , 2006, Pages 15-27

  Gunzburger, Max ^a   Peterson, Janet ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; COMPUTER SIMULATION; FEEDBACK CONTROL; FINITE ELEMENT METHOD; FINITE VOLUME METHOD; MATHEMATICAL MODELS; NAVIER STOKES EQUATIONS; REAL TIME SYSTEMS;

LOW-DIMENSIONAL MODELS; MODELING; MULTIPLE PARAMETERS; REAL TIME;

LARGE SCALE SYSTEMS;

EID: 33745303305     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11666806_2     Document Type: Conference Paper

References (5)

1. Burkardt, J., Gunzburger, M., and Lee, H.: Centroidal Voronoi tessellation-based reduced-order modeling of complex systems. SIAM J. Sci. Comp., to appear
2. Burkardt, J., Gunzburger, M., and Lee, H.: POD and CVT-based Reduced-order Modeling of Navier-Stokes flows. Comp. Meth. Appl. Mech. Engrg., to appear
3. Du, Q., Faber, V., and Gunzburger, M.: Centroidal Voronoi tessellations: applications and algorithms. SIAM Review 41 (1999) 637-676
4. Gunzburger, M., Peterson, J., and Shadid, J.: The treatment of multiple parameters appearing in the boundary data for reduced-order modeling applications. International Journal of Numerical Methods in Engineering. To appear.
5. Ju, L., Du, Q., and Gunzburger, M.: Probablistic methods for centroidal Voronoi tessellations and their parallel implementations. J. Parallel Comput. 28 (2002) 1477-1500