From Wikipedia, the free encyclopedia

The Guide to Available Mathematical Software (GAMS) is a project of the National Institute of Standards and Technology to classify mathematical software by the type of problem that it solves. GAMS became public in 1985. [1] It indexes Netlib and other packages, some of them public domain software and some proprietary software. [2] [3] [4] [5]

References

  1. ^ Altman, Micah; Gill, Jeff; McDonald, Michael P. (2004), Numerical Issues in Statistical Computing for the Social Scientist, Wiley Series in Probability and Statistics, vol. 508, John Wiley & Sons, p. 92, ISBN  9780471475743
  2. ^ Skiena, Steven S. (1998), The Algorithm Design Manual, Springer, p. 429, ISBN  9780387948607
  3. ^ Krommer, Arnold R.; Ueberhuber, Christoph W. (1998), Computational Integration, SIAM, p. 68, ISBN  9780898713749
  4. ^ Kincaid, David; Cheney, Ward (2002), Numerical Analysis: Mathematics of Scientific Computing, Pure and applied undergraduate texts, vol. 2 (3rd ed.), American Mathematical Society, p. 732, ISBN  9780821847886
  5. ^ Johnson, Richard W. (2016), Handbook of Fluid Dynamics (2nd ed.), CRC Press, p. 33-18, ISBN  9781439849576

External links

From Wikipedia, the free encyclopedia

The Guide to Available Mathematical Software (GAMS) is a project of the National Institute of Standards and Technology to classify mathematical software by the type of problem that it solves. GAMS became public in 1985. [1] It indexes Netlib and other packages, some of them public domain software and some proprietary software. [2] [3] [4] [5]

References

  1. ^ Altman, Micah; Gill, Jeff; McDonald, Michael P. (2004), Numerical Issues in Statistical Computing for the Social Scientist, Wiley Series in Probability and Statistics, vol. 508, John Wiley & Sons, p. 92, ISBN  9780471475743
  2. ^ Skiena, Steven S. (1998), The Algorithm Design Manual, Springer, p. 429, ISBN  9780387948607
  3. ^ Krommer, Arnold R.; Ueberhuber, Christoph W. (1998), Computational Integration, SIAM, p. 68, ISBN  9780898713749
  4. ^ Kincaid, David; Cheney, Ward (2002), Numerical Analysis: Mathematics of Scientific Computing, Pure and applied undergraduate texts, vol. 2 (3rd ed.), American Mathematical Society, p. 732, ISBN  9780821847886
  5. ^ Johnson, Richard W. (2016), Handbook of Fluid Dynamics (2nd ed.), CRC Press, p. 33-18, ISBN  9781439849576

External links


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