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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rustem, B. |
| Copyright Year | 1986 |
| Description | Author affiliation: Imperial College of Science and Technology, London (Rustem, B.) |
| Abstract | The existence of rival models of the same macroeconomic system is well known. In this paper, the basic policy optimization problem is extended to take account of rival models. A min-max problem is introduced and subsequently reformulated as that of the minimization of the "worst" convex combination of the objective functions of the rival models. This yields a saddle-point problem. A Newton-type algorithm is proposed for its solution. The algorithm requires the solution of a quadratic subproblem. The proposed range-space based quadratic programming algorithm for the latter utilizes the fact that the models, and thereby constraints, are far fewer than the number of variables. |
| Starting Page | 1023 |
| Ending Page | 1027 |
| File Size | 361209 |
| Page Count | 5 |
| File Format | |
| DOI | 10.1109/CDC.1986.267530 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1986-12-10 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Macroeconomics Educational institutions Quadratic programming |
| Content Type | Text |
| Resource Type | Article |
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