The following pages link to AMLET (Q17767):
Displaying 16 items.
- Implementing quasi-Monte Carlo simulations with linear transformations (Q545523) (← links)
- Spectral projected gradient method for stochastic optimization (Q670658) (← links)
- Sample size selection in optimization methods for machine learning (Q715253) (← links)
- A retrospective trust-region method for unconstrained optimization (Q964178) (← links)
- Adjoint-based Monte Carlo calibration of financial methods (Q964678) (← links)
- A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions (Q1744217) (← links)
- Variable sample size method for equality constrained optimization problems (Q1749777) (← links)
- Penalty variable sample size method for solving optimization problems with equality constraints in a form of mathematical expectation (Q2290926) (← links)
- Nonmonotone line search methods with variable sample size (Q2340358) (← links)
- On sample size control in sample average approximations for solving smooth stochastic programs (Q2376122) (← links)
- Income, time effects and direct preferences in a multimodal choice context: application of mixed RP/SP models with nonlinear utilities (Q2432637) (← links)
- Convergence theory for nonconvex stochastic programming with an application to mixed logit (Q2502199) (← links)
- Inexact restoration approach for minimization with inexact evaluation of the objective function (Q2796018) (← links)
- On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors (Q4605701) (← links)
- An uncertain optimization method for overall ballistics based on stochastic programming and a neural network surrogate model (Q5058977) (← links)
- Interval optimization for structural dynamic responses of an artillery system under uncertainty (Q5059312) (← links)
