Results 11 to 20 of about 264,051 (290)
An optimized derivative-free form of the Potra–Pták method
Mathematical and Computer Modelling, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fazlollah Soleymani +2 more
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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 methods known from the literature that do not use the derivatives have been studied, namely the ...
Heeman, Pim
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A Second-Order Finite-Difference Method for Derivative-Free Optimization
Journal of MathematicsIn this paper, a second-order finite-difference method is proposed for finding the second-order stationary point of derivative-free nonconvex unconstrained optimization problems.
Qian Chen, Peng Wang, Detong Zhu
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A Stochastic Derivative Free Optimization Method with Momentum
, 2019 We consider the problem of unconstrained minimization of a smooth objective function in $\mathbb{R}^d$ in setting where only function evaluations are possible. We propose and analyze stochastic zeroth-order method with heavy ball momentum. In particular, we propose, SMTP, a momentum version of the stochastic three-point method (STP) \cite{Bergou_2018}.
Gorbunov, Eduard +4 more
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Basin attractors for derivative-free methods to find simple roots of nonlinear equations
Journal of Numerical Analysis and Approximation Theory, 2020 Many methods exist for solving nonlinear equations. Several of these methods are derivative-free. One of the oldest is the secant method where the derivative is replaced by a divided difference.
Beny Neta
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A derivative-free optimisation method for global ocean biogeochemical models [PDF]
Geoscientific Model Development, 2022 The skill of global ocean biogeochemical models, and the earth system models in which they are embedded, can be improved by systematic calibration of the parameter values against observations. However, such tuning is seldom undertaken as these models are
S. Oliver +4 more
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On a New Method for Derivative Free Optimization [PDF]
, 2011 A new derivative-free optimization method for unconstrained optimization of partially separable functions is presented. Using average curvature information computed from sampled function values the method generates an average Hessian-like matrix and uses its eigenvectors as new search directions.
Frimannslund, Lennart, Steihaug, Trond
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Derivative-free optimization methods [PDF]
Acta Numerica, 2019 In many optimization problems arising from scientific, engineering and artificial intelligence applications, objective and constraint functions are available only as the output of a black-box or simulation oracle that does not provide derivative information. Such settings necessitate the use of methods for derivative-free, or zeroth-order, optimization.
Jeffrey Larson 0001 +2 more
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Nonlinear fitting of multi-compartmental data using Hooke and Jeeves direct search method
Open Physics, 2021 Compartmental modelling refers to modelling the transport of substances in a system consisting of multiple compartments, which is characterized by the transfer rates among the relevant compartments.
Beni Mehrdad Shahmohammadi, Yu Kwan Ngok
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Seventh Order Derivative-Free Methods for Non-differentiable Operator Equations
European Journal of Mathematical Analysis, 2023 In nonlinear problems where function’s derivatives are difficult or expensive to compute, derivative-free iterative methods are good options to find the numerical solution.
Sunil Kumar +3 more
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