The feasibility of eliminating second derivatives from the input of optimum sensitivity analyses of optimization problems is demonstrated. This elimination restricts the sensitivity analysis to the first-order sensitivity derivatives of the objective function. It is also shown that when a complete first-order sensitivity analysis is performed, second-order sensitivity derivatives of the objective function are available at little additional cost. An expression is derived whose application to linear programming is presented.
Optimum sensitivity derivatives of objective functions in nonlinear programming
AIAA Journal ; 21
1983-06-01
Miscellaneous
No indication
English
Discussion on objective functions for optimum design of low RCS aircraft comfiguration
British Library Online Contents | 1997
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