ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data. (Source:

References in zbMATH (referenced in 51 articles )

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  1. Abali, Bilen Emek: Computational reality. Solving nonlinear and coupled problems in continuum mechanics (2017)
  2. Al-Hinai, Omar; Wheeler, Mary F.; Yotov, Ivan: A generalized mimetic finite difference method and two-point flux schemes over Voronoi diagrams (2017)
  3. Axelsson, Owe; Farouq, Shiraz; Neytcheva, Maya: Comparison of preconditioned Krylov subspace iteration methods for PDE-constrained optimization problems. Stokes control (2017)
  4. Chang, J.; Karra, S.; Nakshatrala, K.B.: Large-scale optimization-based non-negative computational framework for diffusion equations: parallel implementation and performance studies (2017)
  5. Elliott, Charles M.; Ranner, Thomas; Venkataraman, Chandrasekhar: Coupled bulk-surface free boundary problems arising from a mathematical model of receptor-ligand dynamics (2017)
  6. Ulrich Wilbrandt, Clemens Bartsch, Naveed Ahmed, Najib Alia, Felix Anker, Laura Blank, Alfonso Caiazzo, Sashikumaar Ganesan, Swetlana Giere, Gunar Matthies, Raviteja Meesala, Abdus Shamim, Jagannath Venkatesan, Volker John: ParMooN - a modernized program package based on mapped finite elements (2017) arXiv
  7. Bennett, Janine C.; Bhagatwala, Ankit; Chen, Jacqueline H.; Pinar, Ali; Salloum, Maher; Seshadhri, C.: Trigger detection for adaptive scientific workflows using percentile sampling (2016)
  8. Berger-Vergiat, Luc; McAuliffe, Colin; Waisman, Haim: Parallel preconditioners for monolithic solution of shear bands (2016)
  9. Bilous, M.V.: Nadra-3D add-on for Blender software (2016)
  10. Diouane, Y.; Gratton, S.; Vasseur, X.; Vicente, L.N.; Calandra, H.: A parallel evolution strategy for an Earth imaging problem in geophysics (2016)
  11. Harrison, Robert J.; Beylkin, Gregory; Bischoff, Florian A.; Calvin, Justus A.; Fann, George I.; Fosso-Tande, Jacob; Galindo, Diego; Hammond, Jeff R.; Hartman-Baker, Rebecca; Hill, Judith C.; Jia, Jun; Kottmann, Jakob S.; Yvonne Ou, M.-J.; Pei, Junchen; Ratcliff, Laura E.; Reuter, Matthew G.; Richie-Halford, Adam C.; Romero, Nichols A.; Sekino, Hideo; Shelton, William A.; Sundahl, Bryan E.; Thornton, W.Scott; Valeev, Edward F.; Vázquez-Mayagoitia, Álvaro; Vence, Nicholas; Yanai, Takeshi; Yokoi, Yukina: MADNESS: a multiresolution, adaptive numerical environment for scientific simulation (2016)
  12. Langtangen, Hans Petter; Logg, Anders: Solving PDEs in Python. The FEniCS tutorial I (2016)
  13. Lee Slew, K.; Miller, M.; Fereidooni, A.; Tawagi, P.; El-Hage, G.; Hou, M.; Matida, E.: A dual-rotor horizontal axis wind turbine in-house code (DR_HAWT) (2016)
  14. Nguyen, Vinh Phu; Nguyen, Chi Thanh; Bordas, Stéphane; Heidarpour, Amin: Modelling interfacial cracking with non-matching cohesive interface elements (2016)
  15. Nicholas A. Battista, W. Christopher Strickland, Laura A. Miller: IB2d: a Python and MATLAB implementation of the immersed boundary method (2016) arXiv
  16. Pérez Zerpa, Jorge M.; Canelas, Alfredo: Efficient formulations of the material identification problem using full-field measurements (2016)
  17. Peterka, Tom; Croubois, Hadrien; Li, Nan; Rangel, Esteban; Cappello, Franck: Self-adaptive density estimation of particle data (2016)
  18. Richardson, Casey L.; Younes, Laurent: Metamorphosis of images in reproducing kernel Hilbert spaces (2016)
  19. Sousbie, Thierry; Colombi, Stéphane: ColDICE: A parallel Vlasov-Poisson solver using moving adaptive simplicial tessellation (2016)
  20. Vogeltanz, Tomáš: A survey of free software for the design, analysis, modelling, and simulation of an unmanned aerial vehicle (2016)

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