iterative trust region method
A Non-Monotone Conic Trust Region Method With Line Search For Unconstrained Optimization
... Traditional iterative methods for solving (1.1) are either line search method or trust region ...method. Trust region method has strong convergence and robustness, ...
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Trust Region Newton Method for Large-Scale Logistic Regression
... regression, iterative methods are more suitable than direct methods, which require the whole Hessian ...Among iterative methods, currently conjugate gradients are the most used ones in Newton ...Newton ...
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A New Lagrangian Multiplier Method on Constrained Optimization
... function method [1-6], Trust-region filter method [7,8], QP-free feasible method [9,10], Newton iterative method [11,12], ...multiplier method is one of the effi- ...
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A derivative-free optimization algorithm based on conditional moments
... two iterative parameters in the procedure and they will be valued adaptively in the ...proposed method, we have further established the theoretical properties including its ...and trust region ...
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A Trust Region Algorithm Using Curve-Linear Searching Direction for Unconstrained Optimization
... the trust region method; Newton method; DFP method and BFGS method and so ...the trust region method and curve-linear searching techniques to quality the ...
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A Trust Region Algorithm for Solving Nonlinear Equations (RESEARCH NOTE)
... Abstract This paper presents a practical and efficient method to solve large-scale nonlinear equations. The global convergence of this new trust region algorithm is verified. The algorithm is then ...
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Hybrid viscosity approximation methods for general systems of variational inequalities in Banach spaces
... extragradient method [], viscosity approxima- tion method [] and Mann’s iterative method [] to find approximate solutions of GSVI ...
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An adaptive nonmonotone trust region method for unconstrained optimization problems based on a simple subproblem
... classical trust region methods, a trial step is computed by minimizing a (quadratic) model of the objective function at the current point over a region around this ...so-called trust ...
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Modified Efficient Families of Two and Three Step Predictor Corrector Iterative Methods for Solving Nonlinear Equations
... gent method due to Hasnov et al. [11]. This method will not fail like existing methods if f x is very small or even zero in the vicinity of the ...This method re- quires one evaluation of the ...
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A nonmonotone trust-region-approach with nonmonotone adaptive radius for solving nonlinear systems
... a trust-region procedure for solving systems of non- linear ...adaptive trust-region radius and a nonmonotone strategy by combining both of them ...the trust-region framework as ...
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(HSSOR-RB) iterative method, in
... common method is via numerical techniques due to the availability of fast processing machine and their elegant and efficiency in solving the ...(HSSOR-RB) iterative method, in generating mobile robot ...
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ITERATIVE ALGORITHMS FOR TRUST AND REPUTATION MANAGEMENT AND RECOMMENDER SYSTEMS
... Then, we explored the application of ITRM for Delay Tolerant Networks (DTNs). DTNs are characterized by intermittent contacts between nodes, leading to space- time evolution of multihop paths for transmitting packets to ...
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Optimally stable fifth order integration methods: a numerical approach
... From the family of 5,4 iterative correctors, the method 5.2 which has optimal relative stability properties in the sense that its complex region of relative stability contains a maximal [r] ...
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Ray trace tomographic velocity analysis of surface seismic reflection data
... This iterative matrix inversion method is preferable to the more popular Conjugate Gradient Iterative Method, (Scales, 1987; Hestenes & Stiefel, 1952), because the [r] ...
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Parametric preconditioned gauss – Seidel Iterative Method
... In this paper, the Parametric Preconditioned Gauss-Seidel Iterative Method is developed by using the Preconditioned Gauss-Seidel Iterative Method and the spectral radius of these two met[r] ...
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Trust Region Evolution Strategies
... such method is to use extra surrogate gradient infor- mation (directions that may be correlated with, but not nec- essarily identical to, the true gradient) along with ES random ...
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On the Convergence for an Iterative Method for Quasivariational Inclusions
... an iterative method for finding a common element of the set of fixed points of a strict pseudocontraction and of the set of solutions to the problem ...
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6158.pdf
... the trust-region framework for optimizing a general nonlinear function subject to nonlinear inequality constraints, sequential quadratic programming (SQP) techniques generate subproblems in which a ...
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The Iterative Method of Generalized -Concave Operators
... Liang, “Fixed point theorems for a class of nonlinear operators and their applications,” Acta Mathematica Sinica. Chinese Series, vol[r] ...
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Preconditioned Iterative Method for Regular Splitting
... the iterative method derived from ...preconditioned iterative method for regular splitting is ...preconditioned iterative method yields a new splitting satisfying the regular or ...
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