TREESPH - A unification of SPH with the hierarchical tree method. A new, general-purpose code for evolving three-dimensional, self-gravitating fluids in astrophyics, both with and without collisionless matter, is described. In this TREESPH code, hydrodynamic properties are determined using a Monte Carlo-like approach known as smoothed particle hydrodynamics (SPH). Unlike most previous implementations of SPH, gravitational forces are computed with a hierarchical tree algorithm. Multiple expansions are used to approximate the potential of distant groups of particles, reducing the cost per step. More significantly, the improvement in efficiency is achieved without the introduction of a grid. A unification of SPH with the hierarchical tree method is a natural way of allowing for larger N within a Lagrangian framework. The data structures used to manipulate the grouping of particles can be applied directly to certain aspects of the SPH calculation

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  1. He, Lisha; Seaid, Mohammed: A Runge-Kutta-Chebyshev SPH algorithm for elastodynamics (2016)
  2. Wang, Dong; Zhou, Yisong; Shao, Sihong: Efficient implementation of smoothed particle hydrodynamics (SPH) with plane sweep algorithm (2016)
  3. Gonnet, Pedro: Efficient and scalable algorithms for smoothed particle hydrodynamics on hybrid shared/distributed-memory architectures (2015)
  4. Barcarolo, D.A.; Le Touzé, D.; Oger, G.; de Vuyst, F.: Adaptive particle refinement and derefinement applied to the smoothed particle hydrodynamics method (2014)
  5. Tang, X.W.; Zhou, Y.D.; Liu, Y.L.: Factors influencing quasistatic modeling of deformation and failure in rock-like solids by the smoothed particle hydrodynamics method (2013) ioport
  6. Awile, Omar; Büyükkeçeci, Ferit; Reboux, Sylvain; Sbalzarini, Ivo F.: Fast neighbor lists for adaptive-resolution particle simulations (2012)
  7. Marrone, S.; Bouscasse, B.; Colagrossi, A.; Antuono, M.: Study of ship wave breaking patterns using 3D parallel SPH simulations (2012)
  8. Price, Daniel J.: Smoothed particle hydrodynamics and magnetohydrodynamics (2012)
  9. Di Blasi, G.; Francomano, E.; Tortorici, A.; Toscano, E.: A smoothed particle image reconstruction method (2011)
  10. Ha, Youn Doh; Kim, Min-Geun; Kim, Hyun-Seok; Cho Seonho: Shape design optimization of SPH fluid-structure interactions considering geometrically exact interfaces (2011)
  11. Holmes, David W.; Williams, John R.; Tilke, Peter: A framework for parallel computational physics algorithms on multi-core: SPH in parallel (2011) ioport
  12. Jiang, Tao; Ouyang, Jie; Li, Qiang; Ren, Jinlian; Yang, Binxin: A corrected smoothed particle hydrodynamics method for solving transient viscoelastic fluid flows (2011)
  13. Lee, Byung-Hyuk; Park, Jong-Chun; Kim, Moo-Hyun; Hwang, Sung-Chul: Step-by-step improvement of MPS method in simulating violent free-surface motions and impact-loads (2011)
  14. Di Blasi, G.; Francomano, E.; Tortorici, A.; Toscano, E.: Exploiting numerical behaviors in SPH (2010)
  15. Jiang, Tao; Ouyang, Jie; Yang, Binxin; Ren, Jinlian: The SPH method for simulating a viscoelastic drop impact and spreading on an inclined plate (2010)
  16. Liu, M.B.; Liu, G.R.: Smoothed particle hydrodynamics (SPH): an overview and recent developments (2010)
  17. Ovaysi, Saeed; Piri, Mohammad: Direct pore-level modeling of incompressible fluid flow in porous media (2010)
  18. Di G.Sigalotti, Leonardo; López, Hender; Trujillo, Leonardo: An adaptive SPH method for strong shocks (2009)
  19. Shaw, Amit; Reid, S.R.: Heuristic acceleration correction algorithm for use in SPH computations in impact mechanics (2009)
  20. di G.Sigalotti, Leonardo; López, Hender: Adaptive kernel estimation and SPH tensile instability (2008)

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