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 46 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. Bennett, Janine C.; Bhagatwala, Ankit; Chen, Jacqueline H.; Pinar, Ali; Salloum, Maher; Seshadhri, C.: Trigger detection for adaptive scientific workflows using percentile sampling (2016)
  7. Berger-Vergiat, Luc; McAuliffe, Colin; Waisman, Haim: Parallel preconditioners for monolithic solution of shear bands (2016)
  8. Bilous, M.V.: Nadra-3D add-on for Blender software (2016)
  9. 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)
  10. 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)
  11. Nguyen, Vinh Phu; Nguyen, Chi Thanh; Bordas, Stéphane; Heidarpour, Amin: Modelling interfacial cracking with non-matching cohesive interface elements (2016)
  12. Nicholas A. Battista, W. Christopher Strickland, Laura A. Miller: IB2d: a Python and MATLAB implementation of the immersed boundary method (2016) arXiv
  13. Pérez Zerpa, Jorge M.; Canelas, Alfredo: Efficient formulations of the material identification problem using full-field measurements (2016)
  14. Peterka, Tom; Croubois, Hadrien; Li, Nan; Rangel, Esteban; Cappello, Franck: Self-adaptive density estimation of particle data (2016)
  15. Richardson, Casey L.; Younes, Laurent: Metamorphosis of images in reproducing kernel Hilbert spaces (2016)
  16. Sousbie, Thierry; Colombi, Stéphane: ColDICE: A parallel Vlasov-Poisson solver using moving adaptive simplicial tessellation (2016)
  17. Vogeltanz, Tomáš: A survey of free software for the design, analysis, modelling, and simulation of an unmanned aerial vehicle (2016)
  18. Zagumennyj, Ya.V.; Chashechkin, Yu.D.: Unsteady vortex pattern in a flow over a flat plate at zero angle of attack (two-dimensional problem) (2016)
  19. Jiang, Yi; Xie, Yang; Ying, Jinyong; Xie, Dexuan; Yu, Zeyun: SDPBS web server for calculation of electrostatics of ionic solvated biomolecules (2015)
  20. Pauletti, M.Sebastian; Martinelli, Massimiliano; Cavallini, Nicola; Antolin, Pablo: Igatools: an isogeometric analysis library (2015)

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