IFISS
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/)
Keywords for this software
References in zbMATH (referenced in 137 articles , 1 standard article )
Showing results 1 to 20 of 137.
Sorted by year (- Benner, Peter; Bujanović, Zvonimir; Kürschner, Patrick; Saak, Jens: RADI: a low-rank ADI-type algorithm for large scale algebraic Riccati equations (2018)
- Huang, Yunying; Chao, Zhen; Chen, Guoliang: Spectral properties of the matrix splitting preconditioners for generalized saddle point problems (2018)
- Huang, Zhuo-Hong; Huang, Ting-Zhu: Semi-convergence analysis of the GSS iteration methods for singular saddle point problems (2018)
- Huang, Zhuo-Hong; Huang, Ting-Zhu: A modified generalized shift-splitting method for nonsymmetric saddle point problems (2018)
- Liang, Zhao-Zheng; Zhang, Guo-Feng: Parameterized approximate block LU preconditioners for generalized saddle point problems (2018)
- Pearson, John W.; Pestana, Jennifer; Silvester, David J.: Refined saddle-point preconditioners for discretized Stokes problems (2018)
- Beik, Fatemeh Panjeh Ali; Benzi, Michele; Chaparpordi, Sayyed-Hasan Azizi: On block diagonal and block triangular iterative schemes and preconditioners for stabilized saddle point problems (2017)
- Cao, Yang; Wang, An; Chen, Yu-Juan: A modified relaxed positive-semidefinite and skew-Hermitian splitting preconditioner for generalized saddle point problems (2017)
- Dolgov, Sergey; Stoll, Martin: Low-rank solution to an optimization problem constrained by the Navier-Stokes equations (2017)
- Dou, Quan-Yu; Yin, Jun-Feng; Liao, Ze-Yu: A fast shift-splitting iteration method for nonsymmetric saddle point problems (2017)
- Embree, Mark; Keeler, Blake: Pseudospectra of matrix pencils for transient analysis of differential-algebraic equations (2017)
- Ke, Yi-Fen; Ma, Chang-Feng: An inexact modified relaxed splitting preconditioner for the generalized saddle point problems from the incompressible Navier-Stokes equations (2017)
- Khojasteh Salkuyeh, Davod; Masoudi, Mohsen: A new relaxed HSS preconditioner for saddle point problems (2017)
- Li, Jing-Tao; Ma, Chang-Feng: The parameterized upper and lower triangular splitting methods for saddle point problems (2017)
- Li, Jing-Tao; Ma, Chang-Feng: Semi-convergence analysis of parameterized ULT splitting iteration methods for singular saddle point problems (2017)
- Pearson, John W.; Gondzio, Jacek: Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization (2017)
- Shen, Qin-Qin; Cao, Yang; Wang, Li: Two improvements of the deteriorated PSS preconditioner for generalized saddle point problems (2017)
- 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
- Wilbrandt, Ulrich; Bartsch, Clemens; Ahmed, Naveed; Alia, Najib; Anker, Felix; Blank, Laura; Caiazzo, Alfonso; Ganesan, Sashikumaar; Giere, Swetlana; Matthies, Gunar; Meesala, Raviteja; Shamim, Abdus; Venkatesan, Jagannath; John, Volker: ParMooN -- a modernized program package based on mapped finite elements (2017)
- Xiong, Jin-Song; Gao, Xing-Bao: Semi-convergence analysis of Uzawa-AOR method for singular saddle point problems (2017)
Further publications can be found at: http://www.ma.man.ac.uk/~djs/ifiss/publist.html