Abstract: Parameter sensitivity analysis is defined as the estimation of changes in the modeling functions and design point due to small changes in the fixed parameters of the formulation. There are ...

Abstract: This paper discusses Pshenichnyi’s recursive quadratic programming algorithm for use in engineering optimization problems. An evaluation of the original algorithm is offered and several modifications ...

Abstract: The Generalized Reduced Gradient (GRG) method has proven to be one of the more robust and efficient algorithms currently available for solving nonlinear programming problems. The method divides ...

Abstract: The Recursive Quadratic Programming (RQP) method has become known as one of the most effective and efficient algorithms for solving engineering optimization problems. The RQP method uses variable ...