DFO
DFO is a Fortran package for solving general nonlinear optimization problems that have the following characteristics: they are relatively small scale (less than 100 variables), their objective function is relatively expensive to compute and derivatives of such functions are not available and cannot be estimated efficiently. There also may be some noise in the function evaluation procedures. Such optimization problems arise ,for example, in engineering design, where the objective function evaluation is a simulation package treated as a black box.
Keywords for this software
References in zbMATH (referenced in 129 articles , 1 standard article )
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- Coope, I. D.; Price, C. J.: Frame based methods for unconstrained optimization (2000)
- Gasparo, Maria Grazia: A nonmonotone hybrid method for nonlinear systems (2000)
- Martínez, José Mario: Practical quasi-Newton methods for solving nonlinear systems (2000)
- Rodríguez, José F.; Renaud, John E.; Wujek, Brett A.; Tappeta, Ravindra V.: Trust region model management in multidisciplinary design optimization (2000)
- Wright, Margaret H.: What, if anything, is new in optimization? (2000)
- Booker, Andrew J.; Dennis, J. E. jun.; Frank, Paul D.; Serafini, David B.; Torczon, Virginia: Optimization using surrogate objectives on a helicopter test example (1998)
- Powell, M. J. D.: Direct search algorithms for optimization calculations (1998)
- Conn, A. R.; Scheinberg, K.; Toint, Ph. L.: Recent progress in unconstrained nonlinear optimization without derivatives (1997)