Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods
type: Item
instance of: scholarly article
title: Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods
zbMATH Open document ID: 1411.90359
DOI: 10.1137/18M1177718
author: Albert S. Berahas
author: R. H. Byrd
author: Jorge Nocedal
published in: SIAM Journal on Optimization
publication date: 2019-05-07T00:00:00Z
full work available at URL: https://arxiv.org/abs/1803.10173
Mathematics Subject Classification ID: 90C56
Mathematics Subject Classification ID: 90C53
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 7051460
zbMATH Keywords: derivative-free optimization
zbMATH Keywords: nonlinear optimization
zbMATH Keywords: stochastic optimization
describes a project that uses: mctoolbox
describes a project that uses: WEDGE
describes a project that uses: MultiMin
describes a project that uses: NOMAD
describes a project that uses: APPSPACK
describes a project that uses: NEWUOA
describes a project that uses: DFO
describes a project that uses: IMFIL
describes a project that uses: UOBYQA
describes a project that uses: ORBIT
MaRDI profile type: Publication
arXiv ID: 1803.10173
cites work: Mesh Adaptive Direct Search Algorithms for Constrained Optimization
cites work: A derivative-free comirror algorithm for convex optimization
cites work: Q3452586
cites work: Optimization Methods for Large-Scale Machine Learning
cites work: Superlinear Convergence and Implicit Filtering
cites work: Q4421356
cites work: Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation
cites work: Introduction to Derivative-Free Optimization
cites work: Direct Search Methods on Parallel Machines
cites work: Benchmarking optimization software with performance profiles.
cites work: Smoothing and worst-case complexity for direct-search methods in nonsmooth optimization
cites work: Algorithm 856
cites work: Q4079017
cites work: `` Direct Search'' Solution of Numerical and Statistical Problems
cites work: Lipschitzian optimization without the Lipschitz constant
cites work: Implicit Filtering
cites work: A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization
cites work: Optimization by Simulated Annealing
cites work: Q4435425
cites work: Non-intrusive termination of noisy optimization
cites work: Nonsmooth optimization via quasi-Newton methods
cites work: Direct search methods: Then and now
cites work: A Derivative-Free Trust-Region Algorithm for the Optimization of Functions Smoothed via Gaussian Convolution Using Adaptive Multiple Importance Sampling
cites work: Wedge trust region method for derivative free optimization.
cites work: Benchmarking Derivative-Free Optimization Algorithms
cites work: Estimating Computational Noise
cites work: Estimating Derivatives of Noisy Simulations
cites work: Convergence rate of incremental subgradient algorithms
cites work: A Simplex Method for Function Minimization
cites work: Random gradient-free minimization of convex functions
cites work: Numerical Optimization
cites work: UOBYQA: unconstrained optimization by quadratic approximation
cites work: Q5493584
cites work: Derivative-free optimization: a review of algorithms and comparison of software implementations
cites work: More test examples for nonlinear programming codes
cites work: Using Complex Variables to Estimate Derivatives of Real Functions
cites work: ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
cites work: Q4878831
OpenAlex ID: W2963477800
Wikidata QID: Q128120528
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