Results 161 to 170 of about 5,813 (191)
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Quasi-Newton Bundle-Type Methods for Nondifferentiable Convex Optimization
SIAM Journal on Optimization, 1998In this paper we provide implementable methods for solving nondifferentiable convex optimization problems. A typical method minimizes an approximate Moreau--Yosida regularization using a quasi-Newton technique with inexact function and gradient values which are generated by a finite inner bundle algorithm.
Robert Mifflin +2 more
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Nonlocal quasi-Newton method for solving convex variational inequalities
Cybernetics and Systems Analysis, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Panin, V. M., Aleksandrova, V. M.
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A modified BFGS type quasi-Newton method with line search for symmetric nonlinear equations problems
Journal of Computational and Applied Mathematics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mathematical Programming, 1982
The recently proposed quasi-Newton method for constrained optimization has very attractive local convergence properties. To force global convergnce of the method, a descent method which uses Zangwill's penalty function and an exact line search has been proposed by Han.
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The recently proposed quasi-Newton method for constrained optimization has very attractive local convergence properties. To force global convergnce of the method, a descent method which uses Zangwill's penalty function and an exact line search has been proposed by Han.
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Quasi-Newton-Type Continuation Method for Nonlinear Receding Horizon Control
Journal of Guidance, Control, and Dynamics, 2002A fast computational method of nonlinear receding horizon control is proposed, based on the continuation method combined with the quasi-Newton method. Jacobians in the differential equation of the unknown costate are replaced by their estimates, and the quasi-Newton method is employed to determine time derivatives of those estimates.
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Quasi-Newton type proximal gradient method for nonconvex nonsmooth composite optimization problems
Journal of Global OptimizationzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tanxing Wang, Yaning Jiang, Xingju Cai
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A Davidon-Fletcher-Powell Type Quasi-Newton Method to Solve Fuzzy Optimization Problems
2017In this article, a Davidon-Fletcher-Powell type quasi-Newton method is proposed to capture nondominated solutions of fuzzy optimization problems. The functions that we attempt to optimize here are multivariable fuzzy-number-valued functions. The decision variables are considered to be crisp.
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Second-order methods are widely recognized for their rapid convergence; however, this advantage comes at the cost of computing and inverting full Hessians, which becomes impractical at scale. Quasi-Newton (QN) methods address this limitation by using it- erative Hessian approximations, combining strong practical performance with superlin- ear local ...
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Nonmonotone Wolfe-type quasi-Newton methods for multiobjective optimization problems
OptimizationAshutosh Upadhayay +2 more
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Stochastic Quasi-Newton Methods
Proceedings of the IEEE, 2020Aryan Mokhtari, Alejandro Ribeiro
exaly

