SPARSKIT: A basic toolkit for sparse matrix computations. This paper presents the main features of a tool package for manipulating and working with sparse matrices. One of the goals of the package is to provide basic tools to facilitate exchange of software and data between researchers in sparse matrix computations. Our starting point is the Harwell/Boeing collection of matrices for which we provide a number of tools. Among other things the package provides programs for converting data structures, printing simple statistics on a matrix, plotting a matrix pro le, performing basic linear algebra operations with sparse matrices and so on

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  1. Carr, Arielle; de Sturler, Eric; Gugercin, Serkan: Preconditioning parametrized linear systems (2021)
  2. Akbarzadeh, Siamak; Hückelheim, Jan; Müller, Jens-Dominik: Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation (2020)
  3. Capilla, M. T.; Talavera, C. F.; Ginestar, D.; Verdú, G.: Validation of the SHNC time-dependent transport code based on the spherical harmonics method for complex nuclear fuel assemblies (2020)
  4. Dansou, Anicet; Mouhoubi, Saïda; Chazallon, Cyrille: Optimizations of a fast multipole symmetric Galerkin boundary element method code (2020)
  5. Ghasemi, Maryam; Sivaloganathan, Sivabal: A computational study of combination HIFU-chemotherapy as a potential means of overcoming cancer drug resistance (2020)
  6. Ito, Shinsuke; Terada, Masayuki: An evaluation of anonymization methods for creating detailed geographical data (2020)
  7. Tielen, R.; Möller, M.; Göddeke, D.; Vuik, C.: (p)-multigrid methods and their comparison to (h)-multigrid methods within isogeometric analysis (2020)
  8. Dansou, Anicet; Mouhoubi, Saïda; Chazallon, Cyrille; Bonnet, Marc: Modeling multicrack propagation by the fast multipole symmetric Galerkin BEM (2019)
  9. Gómez, Pablo; Zanzi, Claudio; López, Joaquín; Hernández, Julio: Simulation of high density ratio interfacial flows on cell vertex/edge-based staggered octree grids with second-order discretization at irregular nodes (2019)
  10. Özgün, Özlem; Kuzuoğlu, Mustafa: MATLAB-based finite element programming in electromagnetic modeling (2019)
  11. Ghasemi, Maryam; Eberl, Hermann J.: Time adaptive numerical solution of a highly degenerate diffusion-reaction biofilm model based on regularisation (2018)
  12. Ghasemi, Maryam; Hense, Burkhard A.; Eberl, Hermann J.; Kuttler, Christina: Simulation-based exploration of quorum sensing triggered resistance of biofilms to antibiotics (2018)
  13. Sanderson, Conrad; Curtin, Ryan: A user-friendly hybrid sparse matrix class in C++ (2018)
  14. Tan, Guangming; Liu, Junhong; Li, Jiajia: Design and implementation of adaptive SpMV library for multicore and many-core architecture (2018)
  15. Yang, Chang; Claustre, Jonathan; Deluzet, Fabrice: Iterative solvers for elliptic problems with arbitrary anisotropy strengths (2018)
  16. Gupta, Anshul: Enhancing performance and robustness of ILU preconditioners by blocking and selective transposition (2017)
  17. Hyndman, Rob J.; Lee, Alan J.; Wang, Earo: Fast computation of reconciled forecasts for hierarchical and grouped time series (2016)
  18. Il’in, V. P.; Skopin, I. N.: About performance and intellectuality of supercomputer modeling (2016) ioport
  19. Shoele, Kourosh; Mittal, Rajat: Energy harvesting by flow-induced flutter in a simple model of an inverted piezoelectric flag (2016)
  20. Corsaro, S.; Marazzina, D.; Marino, Z.: A parallel wavelet-based pricing procedure for Asian options (2015)

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