Trust Region Method
A Non-Monotone Conic Trust Region Method With Line Search For Unconstrained Optimization
... search method or trust region method. Trust region method has strong convergence and robustness, can be applied to ill-conditioned ...of trust region is that ...
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A Non Monotone Trust Region Method with Non Monotone Wolfe Type Line Search Strategy for Unconstrained Optimization
... g x + α d d ≥ γ g d (7) The rest of this paper is organized as follows. In Section 3, we introduce the algorithm of non-monotone trust region method with line search strategy. In Section 4, we ...
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A New Non monotone Adaptive Trust Region Method for Unconstrained Optimization Problems
... adaptive trust region method f or unconstrained optimization ...traditional trust region ...proposed method has a global convergence under some mild ...
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A Nonmonotone Trust Region Method for Nonsmooth Composite Programming Problems
... nonmonotone trust region method in the next section, the framework of the trust region method will be briefly described ...traditional trust region algorithm works ...
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An adaptive nonmonotone trust region method for unconstrained optimization problems based on a simple subproblem
... of trust region ...adaptive trust region method based on a simple subproblem for large-scale unconstrained optimization problems which makes full use of information in the last two ...
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A trust region method for parabolic boundary control problems
... trust region and solve unconstrained trust region problems, using the reduced Hessian at the current point to build the quadratic ...the trust region problem as easy to solve as ...
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A Trust Region Algorithm for Solving Nonlinear Equations (RESEARCH NOTE)
... of trust region methods for solving systems of nonlinear equations has been popular during the past ...with trust region idea to solve nonlinear ...norm trust region, thereby ...
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A Retrospective Filter Trust Region Algorithm for Unconstrained Optimization
... The trust region method for unconstrained optimiza- tion is first presented by Powell [1], which, in some sense, is equivalent to the Levenberg-Marquardt method which is used to solve the ...
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Lee04a
... convergent region of w ∗ with respect to the trust-region method of Phase I so that applying a trust-region local search to ˆ w leads us to get another locally optimal weight ...
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Mathematical Model and Parameter Estimation for Tumor Growth
... Gradient Trust Region Method works well for our ...the method is quite robust with respect to relatively high noise level of ...derivative-free method, and they stay roughly the same ...
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A Nonmonotone Filter Method for Minimax Problems
... SQP-filter trust-region method [9], based on this idea, Huang [13] proposed a filter method for Minimax ...SQP-filter trust-region ...
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A tensor trust region model for nonlinear system
... Gauss–Newton method [1, 9–11, 14, 16], the BFGS method [8, 23, 27, 29, 39, 43], the Levenberg–Marquardt method [6, 24, 42], the trust-region method [4, 26, 35, 41], the conjugate ...
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Trust Region Newton Method for Large-Scale Logistic Regression
... Newton method uses the exact Hessian (second derivative), it has quadratic convergence near the ...proposed method converges much faster than quasi-Newton methods, which use only an approximate ...proposed ...
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A Trust Region Algorithm Using Curve-Linear Searching Direction for Unconstrained Optimization
... of trust region method, we proposed a algorithm using negative curvature direction as its searching ...combing trust region method and curve-linear searching techniques, a ...
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Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
... descent method for solving ...their method as CMLS ...the trust region method. It sets a size ∆ k,i of the trust region, evaluates the first derivative (9) of (8), and ...
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A nonmonotone adaptive trust region algorithm for symmetric nonlinear equations
... the trust-region methods are very suc- cessful, ...[9-12]. Trust- region methods have been applied to equality constrained problems ...the trust-region method [2,17-22] ...
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Implementation & Comparative Analysis of 10, 18 & 24 Level Diode Clamped Inverters Using “Trust Region Dog Leg” Method
... Multilevel inverters are used in many industrial applications because of good power quality, minimum losses and less harmonics contents. Multilevel inverters require no series connected synchronized switching devices, ...
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A Rule Adaptive Trust Evaluation Method to Pr...
... specification method is defined under multiple parameters to assign the trust weights on mobile ...The method is able to provide the safe communication in attacked or the disrupted ...
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A trust region spectral method for large scale systems of nonlinear equations
... gradient method is one of the most effective methods for solving large-scale systems of nonlinear ...new trust region spectral method without gradient. The trust region technique ...
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Text Extraction from Images using Convolutional Neural Network
... based Method: This method uses the fact that text in images has discrete textural properties that distinguish them from the ...text region in the image . This method is able to detect the text ...
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