文件名称:OR_lectures
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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-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
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-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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下载文件列表
OR_lectures/Week 1 Formulations 1.doc
OR_lectures/Week 1 Formulations 2.docx
OR_lectures/Week 10 Dual Simplex Method.doc
OR_lectures/Week 11 Complementary Slackness Theorem.doc
OR_lectures/Week 12 Revised Simplex Method.doc
OR_lectures/Week 13 Parametric LP.doc
OR_lectures/Week 14 Sensitivity Analysis.doc
OR_lectures/Week 2 Graphical Method.doc
OR_lectures/Week 3 Toward Simplex Method.doc
OR_lectures/Week 4 Simplex Method.doc
OR_lectures/Week 5 Two Phase Method.doc
OR_lectures/Week 6 Big M-method.doc
OR_lectures/Week 7 Duality.doc
OR_lectures/Week 8 Fundamental Duality Theorem.doc
OR_lectures/Week 9 Martrix Version.doc
OR_lectures/~$ek 12 Revised Simplex Method.doc
OR_lectures/~$ek 9 Martrix Version.doc
OR_lectures
OR_lectures/Week 1 Formulations 2.docx
OR_lectures/Week 10 Dual Simplex Method.doc
OR_lectures/Week 11 Complementary Slackness Theorem.doc
OR_lectures/Week 12 Revised Simplex Method.doc
OR_lectures/Week 13 Parametric LP.doc
OR_lectures/Week 14 Sensitivity Analysis.doc
OR_lectures/Week 2 Graphical Method.doc
OR_lectures/Week 3 Toward Simplex Method.doc
OR_lectures/Week 4 Simplex Method.doc
OR_lectures/Week 5 Two Phase Method.doc
OR_lectures/Week 6 Big M-method.doc
OR_lectures/Week 7 Duality.doc
OR_lectures/Week 8 Fundamental Duality Theorem.doc
OR_lectures/Week 9 Martrix Version.doc
OR_lectures/~$ek 12 Revised Simplex Method.doc
OR_lectures/~$ek 9 Martrix Version.doc
OR_lectures
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