The following pages link to Estimating Computational Noise (Q3103515):
Displaying 26 items.
- Stochastic derivative-free optimization using a trust region framework (Q301671) (← links)
- Stopping rules and backward error analysis for bound-constrained optimization (Q639367) (← links)
- Do you trust derivatives or differences? (Q728560) (← links)
- Analysis of the Jacobian-free multiscale method (JFMM) (Q889678) (← links)
- On estimating the noise power in array processing (Q1189823) (← links)
- Linesearch Newton-CG methods for convex optimization with noise (Q2084588) (← links)
- A theoretical and empirical comparison of gradient approximations in derivative-free optimization (Q2143221) (← links)
- How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem (Q2245689) (← links)
- Finite differences for higher order derivatives of low resolution data (Q2666278) (← links)
- Non-intrusive termination of noisy optimization (Q2867421) (← links)
- (Q3833998) (← links)
- Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods (Q4634094) (← links)
- A Derivative-Free Trust-Region Algorithm for the Optimization of Functions Smoothed via Gaussian Convolution Using Adaptive Multiple Importance Sampling (Q4641668) (← links)
- Global Convergence Rate Analysis of a Generic Line Search Algorithm with Noise (Q4997171) (← links)
- A Lipschitz Matrix for Parameter Reduction in Computational Science (Q4997385) (← links)
- A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization (Q5026838) (← links)
- Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization (Q5095497) (← links)
- Analysis of the BFGS Method with Errors (Q5210518) (← links)
- Derivative-free optimization methods (Q5230522) (← links)
- Computational and sensitivity aspects of eigenvalue-based methods for the large-scale trust-region subproblem (Q5299913) (← links)
- Data-Driven Polynomial Ridge Approximation Using Variable Projection (Q5745137) (← links)
- On the numerical performance of finite-difference-based methods for derivative-free optimization (Q5882235) (← links)
- Full-low evaluation methods for derivative-free optimization (Q5882241) (← links)
- A trust region method for noisy unconstrained optimization (Q6052069) (← links)
- Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization (Q6175706) (← links)
- New subspace method for unconstrained derivative-free optimization (Q6604149) (← links)
