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- W635350778 abstract "The possibility of tailoring the quadratic objective function to generate optimal policies which are acceptable to the policy maker is explored with two alternative algorithms. One of these is for objective functions with diagonal Hessians and uses updates of the desired values. The second algorithm proceeds by updating the non-diagonal Hessians. The equivalence of both algorithms are established. The complexity of the algorithms, and thereby of the policy design process, is discussed. The extension to nonlinear constraints is studied. The arbitrariness of shadow prices are established for all quadratic equality constrained optimization problems. Starting initially with linear constraints, it is shown that either one of the algorithms can be used to alter the shadow prices by arbitrarily specified amounts. In one step, the algorithms are able to alter the shadow prices without altering the optimal solution. It is shown that this is also true for nonlinear problems." @default.
- W635350778 created "2016-06-24" @default.
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- W635350778 date "1990-01-01" @default.
- W635350778 modified "2023-09-27" @default.
- W635350778 title "ON THE DIAGONALIZABILITY OF QUADRATIC FORMS AND THE ARBITRARINESS OF SHADOW PRICES" @default.
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- W635350778 doi "https://doi.org/10.1016/b978-0-08-037538-0.50050-2" @default.
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