GAMS -- A User's Guide

By R. Rosenthal. 2004

3,626 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/911af9ac92843aa31bfec74bed9705407ac2f921

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stephen P. Boyd
2. Miles Lubin
3. Pietro Belotti
4. Ruth Misener
5. Steven Diamond
6. Akshay Agrawal
7. Christodoulos A. Floudas
8. Ignacio E. Grossmann

Citations in the corpus

• Cones and interior-point algorithms for structured convex optimization involving powers andexponentials (2009, methodology): “These tools can be standalone software packes such as AMPL [19] and GAMS [7], or Matlab toolboxes like CVX [27] and Yalmip [39].”
• The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework (2008, methodology): “The procedure is implemented as a non-linear program (NLP) in GAMS ( Brooke et al., 1998 ) and solved using CONOPT version 3 (Drud, 1985, 1994, 1997).6 The model code is given in an appendix.7”
• A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem by (2005, methodology): “1 is modeled in GAMS [59] and solved using ILOG CPLEX Solver version 9.”