Results 31 to 40 of about 1,072,002 (279)
Mathematics, 2023 This research aims to propose a new family of one-parameter multi-step iterative methods that combine the homotopy perturbation method with a quadrature formula for solving nonlinear equations. The proposed methods are based on a higher-order convergence
Huda J. Saeed +4 more
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Mathematics, 2020 In this study, we construct the one parameter optimal derivative-free iterative family to find the multiple roots of an algebraic nonlinear function.
Munish Kansal +4 more
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Mathematics, 2023 In this paper, we propose a new fifth-order family of derivative-free iterative methods for solving nonlinear equations. Numerous iterative schemes found in the existing literature either exhibit divergence or fail to work when the function derivative is
Ekta Sharma +5 more
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Derivative-Free Methods for Mixed-Integer Constrained Optimization Problems [PDF]
Journal of Optimization Theory and Applications, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giampaolo Liuzzi +2 more
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, 2010 In a rather general setting of multivariate stochastic volatility market models we derive global iterative probabilistic schemes for computing the free boundary and its Greeks for a generic class of American derivative models using front-fixing methods ...
Kampen, Joerg
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Discrete Gradient Method: Derivative-Free Method for Nonsmooth Optimization
Journal of Optimization Theory and Applications, 2007 The paper of A. M. Bagirov, B. Karasözen and M. Sezer is a valuable contribution to the numerical-algorithmical part of unconstrained continuous optimization, in fact, to its nonsmooth version, and the corresponding theory is provided, too. It stands in the tradition of nonsmooth analysis and optimization, but it benefits from some insight and ...
Bagirov, A. M. +2 more
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Modelling, 2022 In this paper, we study a reformulation of the Economic Production Quantity (EPQ) problem. We study a more general version of the problem first and derive the conditions for an optimal solution, as well as the optimal solution itself, all without using ...
Cenk Çalışkan
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Derivative-free online learning of inverse dynamics models
, 2018 This paper discusses online algorithms for inverse dynamics modelling in robotics. Several model classes including rigid body dynamics (RBD) models, data-driven models and semiparametric models (which are a combination of the previous two classes) are ...
Camoriano, Raffaello +4 more
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Dissipative numerical schemes on Riemannian manifolds with applications to gradient flows [PDF]
, 2018 This paper concerns an extension of discrete gradient methods to finite-dimensional Riemannian manifolds termed discrete Riemannian gradients, and their application to dissipative ordinary differential equations.
Celledoni, Elena +3 more
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Journal of Inequalities and Applications, 2020 In this paper, we present a class of new derivative-free gradient type methods for large-scale nonlinear systems of monotone equations. The methods combine the RMIL conjugate gradient method, the strategy of hyperplane projection and the derivative-free ...
Xiaowei Fang
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