Description: age. However, GAUSS is not appropriate for, say, writing a menu system a
general-purpose language is probably easier. Nor is GAUSS appropriate for standard applications
on standard datasets. There is little point in writing a probit estimation routine in GAUSS for a
small dataset. Firstly, there are already routines commercially available for non-linear estimation
using GAUSS. More importantly, TSP, LimDep, etc will already perform the estimation and there
is no necessity to learn anything at all about GAUSS to use these programs. However, to get extra
speciÖ cation tests, for example, a straightforward solution would be to code a routine and amend
the preexisting GAUSS probit program to call the new proced
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OR_lectures\Week 1 Formulations 1.doc
...........\Week 1 Formulations 2.docx
...........\Week 10 Dual Simplex Method.doc
...........\Week 11 Complementary Slackness Theorem.doc
...........\Week 12 Revised Simplex Method.doc
...........\Week 13 Parametric LP.doc
...........\Week 14 Sensitivity Analysis.doc
...........\Week 2 Graphical Method.doc
...........\Week 3 Toward Simplex Method.doc
...........\Week 4 Simplex Method.doc
...........\Week 5 Two Phase Method.doc
...........\Week 6 Big M-method.doc
...........\Week 7 Duality.doc
...........\Week 8 Fundamental Duality Theorem.doc
...........\Week 9 Martrix Version.doc
...........\~$ek 12 Revised Simplex Method.doc
...........\~$ek 9 Martrix Version.doc
OR_lectures
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