Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow. IFISS is a graphical Matlab package for the interactive numerical study of incompressible flow problems. It includes algorithms for discretization by mixed finite element methods and a posteriori error estimation of the computed solutions. The package can also be used as a computational laboratory for experimenting with state-of-the-art preconditioned iterative solvers for the discrete linear equation systems that arise in incompressible flow modelling. A unique feature of the package is its comprehensive nature; for each problem addressed, it enables the study of both discretization and iterative solution algorithms as well as the interaction between the two and the resulting effect on overall efficiency. (Source: http://dl.acm.org/)

References in zbMATH (referenced in 105 articles , 1 standard article )

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  1. Dolgov, Sergey; Stoll, Martin: Low-rank solution to an optimization problem constrained by the Navier-Stokes equations (2017)
  2. Benner, Peter; Kürschner, Patrick; Saak, Jens: Frequency-limited balanced truncation with low-rank approximations (2016)
  3. Bi, Yanhui; Zhang, Naimin; Zhou, Lijuan: On the optimal parameters of GMSSOR method for saddle point problems (2016)
  4. Chen, Hao: A splitting preconditioner for implicit Runge-Kutta discretizations of a partial differential-algebraic equation (2016)
  5. Dong, Yongxin; Gu, Chuanqing: A class of generalized relaxed PSS preconditioners for generalized saddle point problems (2016)
  6. Fan, Hong-tao; Zheng, Bing; Zhu, Xin-yun: A relaxed positive semi-definite and skew-Hermitian splitting preconditioner for non-Hermitian generalized saddle point problems (2016)
  7. Fan, Hong-Tao; Zhu, Xin-Yun: A modified relaxed splitting preconditioner for generalized saddle point problems from the incompressible Navier-Stokes equations (2016)
  8. Liang, Zhao-Zheng; Zhang, Guo-Feng: SIMPLE-like preconditioners for saddle point problems from the steady Navier-Stokes equations (2016)
  9. Palitta, Davide; Simoncini, Valeria: Matrix-equation-based strategies for convection-diffusion equations (2016)
  10. Pearson, John W.: Fast iterative solvers for large matrix systems arising from time-dependent Stokes control problems (2016)
  11. Ramage, Alison; Sonnet, André M.: Computational fluid dynamics for nematic liquid crystals (2016)
  12. Shi, Quan; Shen, Qin-Qin; Yao, Lin-Quan: Eigenvalue bounds of the shift-splitting preconditioned singular nonsymmetric saddle-point matrices (2016)
  13. Sousedík, Bedřich; Elman, Howard C.: Stochastic Galerkin methods for the steady-state Navier-Stokes equations (2016)
  14. Vecharynski, Eugene; Yang, Chao; Xue, Fei: Generalized preconditioned locally harmonic residual method for non-Hermitian eigenproblems (2016)
  15. Wang, Rui-Rui; Niu, Qiang; Ma, Fei; Lu, Lin-Zhang: Spectral properties of a class of matrix splitting preconditioners for saddle point problems (2016)
  16. Wang, Ruishu; Wang, Xiaoshen; Zhai, Qilong; Zhang, Ran: A weak Galerkin finite element scheme for solving the stationary Stokes equations (2016)
  17. Xie, Ya-Jun; Ma, Chang-Feng: A modified positive-definite and skew-Hermitian splitting preconditioner for generalized saddle point problems from the Navier-Stokes equation (2016)
  18. Zhang, Juli; Gu, Chuanqing: A variant of the deteriorated PSS preconditioner for nonsymmetric saddle point problems (2016)
  19. Zheng, Qing-Qing; Ma, Chang-Feng: A class of triangular splitting methods for saddle point problems (2016)
  20. Zhou, Sheng-Wei; Yang, Ai-Li; Dou, Yan; Wu, Yu-Jiang: The modified shift-splitting preconditioners for nonsymmetric saddle-point problems (2016)

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Further publications can be found at: http://www.ma.man.ac.uk/~djs/ifiss/publist.html