Some of the reasons to apply derivative-free optimization are the following: Nowadays computer hardware and mathematical algorithms allows increasingly large simulations. Functions are noisy (one cannot trust derivatives or approximate them by finite differences). Binary codes (source code not available) and random simulations — making automatic differentiation impossible to apply. Legacy codes (written in the past and not maintained by the original authors). Lack of sophistication of the user (users need improvement but want to use something simple)
Includes bibliographical references and index.Introduction -- Sampling and linear models -- Interpol...
We have developed a new derivative-free algorithm based on Radial Basis Functions (RBFs). Derivative...
A Derivative-Free Trust-Region (DFTR) algorithm is proposed to solve the robust well control optimiz...
In this survey article we give the basic description of the interpolation based derivative free opti...
In this paper, we consider the unconstrained optimization problem under the following situation: (S1...
We consider some algorithms for unconstrained minimization without derivatives that form linear or q...
Derivative-free optimization is a specific branch of mathematical optimization where first and highe...
Derivative-free optimization (DFO) has enjoyed renewed interest over the past years, mostly motivate...
Some of the reasons to apply derivative-free optimization are the following: Nowadays computer hardw...
Some of the reasons to apply derivative-free optimization are the following: Nowadays computer hardw...
Derivative free optimization algorithms are implementations of trust region based derivative-free me...
Derivative-free optimization (DFO) methods [502] are typically considered for the minimization/maxim...
Derivative-free optimization involves the methods used to minimize an expensive objective functionwh...
We introduce MNH, a new algorithm for unconstrained optimization when derivatives are unavailable, p...
We consider unconstrained optimization problems where only “stochastic” estimates of the objective f...
Includes bibliographical references and index.Introduction -- Sampling and linear models -- Interpol...
We have developed a new derivative-free algorithm based on Radial Basis Functions (RBFs). Derivative...
A Derivative-Free Trust-Region (DFTR) algorithm is proposed to solve the robust well control optimiz...
In this survey article we give the basic description of the interpolation based derivative free opti...
In this paper, we consider the unconstrained optimization problem under the following situation: (S1...
We consider some algorithms for unconstrained minimization without derivatives that form linear or q...
Derivative-free optimization is a specific branch of mathematical optimization where first and highe...
Derivative-free optimization (DFO) has enjoyed renewed interest over the past years, mostly motivate...
Some of the reasons to apply derivative-free optimization are the following: Nowadays computer hardw...
Some of the reasons to apply derivative-free optimization are the following: Nowadays computer hardw...
Derivative free optimization algorithms are implementations of trust region based derivative-free me...
Derivative-free optimization (DFO) methods [502] are typically considered for the minimization/maxim...
Derivative-free optimization involves the methods used to minimize an expensive objective functionwh...
We introduce MNH, a new algorithm for unconstrained optimization when derivatives are unavailable, p...
We consider unconstrained optimization problems where only “stochastic” estimates of the objective f...
Includes bibliographical references and index.Introduction -- Sampling and linear models -- Interpol...
We have developed a new derivative-free algorithm based on Radial Basis Functions (RBFs). Derivative...
A Derivative-Free Trust-Region (DFTR) algorithm is proposed to solve the robust well control optimiz...