Improving lagrangian methods. Toward an agent-particle based method

SIMUTools 2009 - 2nd International ICST Conference on Simulation Tools and Techniques

Volumn , Issue , 2009, Pages

  Dembele, Jean Marie ^a   Cambier, Christophe ^b  

^a UNIVERSITÉ CHEIKH ANTA DIOP   (Senegal)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Agent based modeling; Dynamical systems; Partial differential equations (pde); Particle methods

Indexed keywords

AUTONOMOUS AGENTS; COMPUTATIONAL METHODS; DIFFERENTIAL EQUATIONS; DYNAMICAL SYSTEMS; LAGRANGE MULTIPLIERS; PARTIAL DIFFERENTIAL EQUATIONS; RAY TRACING;

AGENT-BASED MODEL; CONVECTION DIFFUSION PROBLEMS; LAGRANGIAN METHODS; MODELING AND SIMULATING; PARTIAL DIFFERENTIAL EQUATIONS (PDE); PARTICLE METHODS; PARTICLE-BASED METHODS; SMOOTH PARTICLE HYDRODYNAMICS;

AGGLOMERATION;

EID: 84922879298     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/ICST.SIMUTOOLS2009.5658     Document Type: Conference Paper

References (18)

1. Badouel D., 1990. An efficient ray-polygon intersection. Graphics gems, 390-393
2. Bandi, S., Thalmann, D., 1995. An adaptative spacial subdivision of the object space for fast collision detection of animated rigid bodies. In EUROGRAPHICS'95 Conference, Computer Graphics Forum, Volume 14(3), pages 259-270, Maastricht.
3. Bentley, J. L., Friedman, J. H., 1979. Data structures for range searching. ACM Computing Surveys, 11(4):398-409.
4. Bergdorf, M., Cottet, G.-H., Koumoutsakos, P., 2005 Multilevel Adaptive Particle Methods for Convection-Diffusion Equations, SIAM Multiscale Modeling and Simulation, 4, 328-357.
5. Bertelle, C., Olivier, D., Jay, V., Tranouez, P., Cardon, A., 2000. A multi-agent system integrating vortex methods for fluid flow computation. In 16th IMACS Congress Proceedings, Lausanne, Suisse.
6. Degond, P., Mustieles, F. J., 1990. A deterministic approximation of diffusion equations using particles, SIAM J. Sci. Stat. Comput. 11(2), 293.
7. Dembele, J. M., C. Cambier, 2008. Contribution to the modeling of complex systems described by partial differential equations: a 2D multi-agent model for convection-diffusion. Inter Journal of Complex Systems, Article 2169.
8. Gesteira, M. G., Rogers, B. D., Dalrymple, R. A., Crespo, A. J. C., 2008. Narayanaswamy, M. User Guide for SPHysics Code.
9. Gingold, R. A. and Monaghan, J. J. 1977. Smoothed particle hydrodynamics: theory and application to non-spherical stars, Mon. Not. R. Astron. Soc. 181, 375-389.
10. Li, S. and Liu, W. K. 2002. Meshfree and Particle Methods and Their Applications. Applied Mechanics Review, vol. 55, pages 1-34, 2002
11. Meseure, P., Kheddar, A., Faure, F., 2003. Détection des collisions et calcul de la réponse. Action spécifique CNRS No 90.
12. Monaghan, J. J. 1985. Particle methods for hydrodynamics. Comput. Phys. Rep. 3, 71-124.
13. Parrish, J. K., Edelstein-Keshet, 1999. Complexity, Pattern, and Evolutionary Trade-Offs in Animal Aggregation. Science. Vol. 284. no. 5411, pp. 99-101
14. Pharr, M., Fernando, R., 2004. GPU Gem 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation, Addison Wesley.
15. Reynolds, W., 2000. Interaction with Groups of Autonomous Characters. Game Developers Conference 2000, proceedings, pp 449-460
16. Servat, D., 2000. Modélisation de dynamiques de flux par agents. Application aux processus de ruissellement, infiltration et érosion. Thèse de Doctorat. Université Paris 6.
17. Slusallek, P., Shirley, P., Mark, B., Stoll, G., Wald I., 2005. Siggraph 2005 course 41: Introduction to real time ray tracing.
18. Wald, I., Havran, V., 2006. On building fast kd-Trees for Ray Tracing, and on doing that in O (N log N). In Proceedings of the 2006 IEEE Symposium on Interactive Ray Tracing, pages 61-6