Results 21 to 30 of about 17,151,919 (277)
Full-low evaluation methods for derivative-free optimization [PDF]
Optim. Methods Softw., 2021 We propose a new class of rigorous methods for derivative-free optimization with the aim of delivering efficient and robust numerical performance for functions of all types, from smooth to non-smooth, and under different noise regimes.
A. Berahas, Oumaima Sohab, L. N. Vicente
semanticscholar +1 more source
Escaping local minima with local derivative-free methods: a numerical investigation [PDF]
Optimization, 2018 We investigate the potential of applying a state-of-the-art, local derivative-free solver, Py-BOBYQA to global optimization problems. In particular, we demonstrate the potential of a restarts procedure – as distinct from multistart methods – to allow Py ...
C. Cartis +2 more
semanticscholar +1 more source
PDFO: a cross-platform package for Powell’s derivative-free optimization solvers [PDF]
Mathematical Programming Computation, 2023 The late Professor M. J. D. Powell devised five trust-region methods for derivative-free optimization, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.
Tom M. Ragonneau, Zai-Kun Zhang
semanticscholar +1 more source
On the Robustness of Derivative-free Methods for Linear Quadratic Regulator [PDF]
IEEE Transactions on Automatic ControlPolicy optimization has drawn increasing attention in reinforcement learning, particularly in the context of derivative-free methods for linear quadratic regulator (LQR) problems with unknown dynamics.
Weijian Li +3 more
semanticscholar +1 more source
On Derivative-Free Optimisation Methods [PDF]
, 2023 As part of the field of mathematical optimisation, derivative-free optimisation is the study of optimisation methods that are not granted full access to the derivative of the objective function. In this master's thesis, three derivative-free optimisation
Heeman, Pim
core
Optimal Derivative-Free Root Finding Methods Based on Inverse Interpolation
Mathematics, 2019 Finding a simple root for a nonlinear equation f ( x ) = 0 , f : I ⊆ R → R has always been of much interest due to its wide applications in many fields of science and engineering.
Moin-ud-Din Junjua +2 more
doaj +1 more source
Barekeng, 2022 The variant of Chebyshev-Halley’s method is an iterative method used for solving a nonlinear equation with third order of convergence. In this paper, we present some new variants of three steps Chebyshev-Halley’s method free from second derivative with ...
Yuslenita Muda +3 more
doaj +1 more source
Challenges with bearings only tracking for missile guidance systems and how to cope with them. [PDF]
, 2010 This paper addresses the problem of closed loop missile guidance using bearings and target angular extent information. Comparison is performed between particle filtering methods and derivative free methods.
Mihaylova, Lyudmila +2 more
core +4 more sources
An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization
, 2022 We consider an unconstrained problem of minimizing a smooth convex function which is only available through noisy observations of its values, the noise consisting of two parts.
Dvurechensky, Pavel +2 more
core +1 more source
A Note on Traub’s Method for Systems of Nonlinear Equations
Mathematics, 2021 Traub’s method was extended here to systems of nonlinear equations and compared to Steffensen’s method. Even though Traub’s method is only of order 1.839 and not quadratic, it performed better in the 10 examples.
Beny Neta
doaj +1 more source