@article{mikel2005storage,
  abstract = {Many storage formats (or data structures) have been proposed to represent sparse matrices. This paper presents a performance evaluation in Java comparing eight of the most popular formats plus one recently proposed specifically for Java (by Gundersen and Steihaug [6] – Java Sparse Array) using the matrix-vector multiplication operation.
ER  -},
  author = {Luján, Mikel and Usman, Anila and Hardie, Patrick and Freeman, T.L. and Gurd, John},
  interhash = {b8bf03d4eba50d021e57b044cf7bb743},
  intrahash = {ba051dc3799456ac8b6ae74b75f7e54b},
  journal = {Computational Science – ICCS 2005},
  pages = {364--371},
  title = {Storage Formats for Sparse Matrices in Java},
  url = {http://dx.doi.org/10.1007/11428831_45},
  year = 2005
}