Pages that link to "Item:Q6038650"
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The following pages link to Scalable subspace methods for derivative-free nonlinear least-squares optimization (Q6038650):
Displaying 13 items.
- A stochastic subspace approach to gradient-free optimization in high dimensions (Q2044475) (← links)
- Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization (Q2301133) (← links)
- The substitution secant/finite difference method for large scale sparse unconstrained optimization (Q2508054) (← links)
- A Subspace Decomposition Principle for Scaled Gradient Projection Methods: Local Theory (Q4695427) (← links)
- Direct Search Based on Probabilistic Descent in Reduced Spaces (Q6071887) (← links)
- Global optimization using random embeddings (Q6160282) (← links)
- Quadratic regularization methods with finite-difference gradient approximations (Q6175465) (← links)
- Adaptive state-dependent diffusion for derivative-free optimization (Q6575305) (← links)
- Stochastic trust-region algorithm in random subspaces with convergence and expected complexity analyses (Q6580002) (← links)
- On the global complexity of a derivative-free Levenberg-Marquardt algorithm via orthogonal spherical smoothing (Q6608067) (← links)
- Expected decrease for derivative-free algorithms using random subspaces (Q6622391) (← links)
- \(Q\)-fully quadratic modeling and its application in a random subspace derivative-free method (Q6624430) (← links)
- Stochastic zeroth order descent with structured directions (Q6642789) (← links)
