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- updated Readme
- removed numpy restriction
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Changelog.txt

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2.11.4
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- updated Readme
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- removed numpy restriction
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2.11.3
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- updated to Eigen 3.4.0
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- updated to PBD 2.0.1

README.md

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@@ -240,4 +240,29 @@ The following videos were generated using the SPlisHSPlasH library:
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* Tetsuya Takahashi, Yoshinori Dobashi, Issei Fujishiro, Tomoyuki Nishita, and Ming C. Lin. Implicit Formulation for SPH-based Viscous Fluids. Computer Graphics Forum, 34, 2015.
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* Marcel Weiler, Dan Koschier and Jan Bender. Projective Fluids. Proceedings of the 9th International Conference on Motion in Games, ACM, 2016, 79-84
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* Marcel Weiler, Dan Koschier, Magnus Brand and Jan Bender. A Physically Consistent Implicit Viscosity Solver for SPH Fluids. Computer Graphics Forum (Eurographics), 37(2), 2018
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* F. Zorilla, M. Ritter, J. Sappl, W. Rauch, M. Harders, "Accelerating Surface Tension Calculation in SPH via Particle Classification and Monte Carlo Integration", Computers 9, 23, 2020.
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* F. Zorilla, M. Ritter, J. Sappl, W. Rauch, M. Harders. Accelerating Surface Tension Calculation in SPH via Particle Classification and Monte Carlo Integration. Computers 9, 23, 2020.
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## Other research projects using SPlisHSPlasH
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* Diogo Schaffer, Andre Antonitsch, Amyr Neto, Soraia Musse. Towards Animating Virtual Humans in Flooded Environments. Motion, Interaction and Games, 2020
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https://dl.acm.org/doi/10.1145/3424636.3426900
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* Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler. Lagrangian neural style transfer for fluids. ACM Transactions on Graphics 39, 4, 2020
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https://dl.acm.org/doi/abs/10.1145/3386569.3392473
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* Fernando Zorilla, Marcel Ritter, Johannes Sappl, Wolfgang Rauch, Matthias Harders. Accelerating Surface Tension Calculation in SPH via Particle Classification and Monte Carlo Integration. Computer Graphics and Visual Computing (CGVC), 2019
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https://diglib.eg.org/handle/10.2312/cgvc20191260
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* H. R. Abbasia and R. Lubbad. A numerical model for the simulation of oil–ice interaction. Physics of Fluids 33, 2021
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https://aip.scitation.org/doi/10.1063/5.0065587
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* Uljad Berdica, Yuewei Fu, Yuchen Liu, Emmanouil Angelidis, Chen Feng. Mobile 3D Printing Robot Simulation with Viscoelastic Fluids. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
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https://ieeexplore.ieee.org/document/9636114
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* Arnaud Schoentgen, Pierre Poulin, Emmanuelle Darles, Philippe Meseure. Particle-based liquid control using animation templates. ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2020
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https://dl.acm.org/doi/10.1111/cgf.14103
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* B. Ummenhofer, L. Prantl, N. Thuerey, V. Koltun. Lagrangian Fluid Simulation with Continuous Convolutions. ICLR 2020
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https://ge.in.tum.de/publications/2020-ummenhofer-iclr/
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* Stefan Reinhardt, Tim Krake, Bernhard Eberhardt, Daniel Weiskopf. Consistent Shepard Interpolation for SPH-Based Fluid Animation. ACM Transactions on Graphics 38, 6, 2019
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https://dl.acm.org/doi/10.1145/3355089.3356503
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* Zhongyao Yang, Maolin Wu, Shiguang Liu. Helmholtz decomposition-based SPH. Virtual Reality & Intelligent Hardware 3, 2, 2021
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https://www.sciencedirect.com/science/article/pii/S2096579621000176
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setup.py

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(emitter_boundary_dest, [s for s in emitter_boundary if os.path.isfile(s)]),
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(fonts_dest, [f for f in fonts if os.path.isfile(f)])],
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zip_safe=False,
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install_requires=['numpy<=1.19.3']
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install_requires=['numpy']
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)

version

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2.11.3
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2.11.4

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