adaptive trust region
A New Non monotone Adaptive Trust Region Method for Unconstrained Optimization Problems
... the adaptive trust region method with the non-monotone technique (10) and good numerical results have been achieved [3, 4, 6, ...the adaptive trust region method with the ...
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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] too. ...
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A New Non monotonic Self adaptive Trust Region Algorithm with Non monotonic Line Search
... Mosoud Ahookhosh [7] introduced a variant non-monotone strategy and incorporate it into trust-region framework to construct more reliable approach. The new non-monotone strategy is a convex combination of ...
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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 ...effective adaptive trust-region radius and a nonmonotone strategy by combining both of them ...appropriate adaptive ...
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A Retrospective Filter Trust Region Algorithm for Unconstrained Optimization
... the trust region radius correspondingly. In the retrospective trust region method, the two roles are played by the ratio and , ...basic trust region algorithm, the ...
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An adaptive nonmonotone trust region method for unconstrained optimization problems based on a simple subproblem
... and adaptive techniques have been simulta- neously employed in the framework of trust region ...nonmonotone adaptive trust region method based on a simple subproblem for ...
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A trust region method for parabolic boundary control problems
... and trust re- gion globalization for optimization problems subject to simple bounds can be applied in a infinite dimensional setting to parabolic optimal control ...how trust region-CG algorithms can ...
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Adaptive Region Embedding for Text Classification
... of region embeddings and feed them to a CNN as extra inputs. The region embed- dings help to improve the error rates by a significant margin compared to vanilla ...
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Towards validating a framework of adaptive schemata for entrepreneurial success
... A quasi-ethnographic approach utilising semi-struct ured interviews was adopted towards identif ying and interpreting the t ypes of adaptive schemata within successful entrepreneurs. This approach was preferred ...
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Trust-region based methods for unconstrained global optimization
... In HSPM, IVT technique enables HSPM to determine all intervals which contain at least one minimizer. The trusted interval was credited in reducing the unnecessary function evaluations since the local search step will be ...
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Context and Trust based adaptive security policy: A Survey
... Some of the works that are adaptive towards security using a centralized approach were reviewed and found some of the interesting things about context based security. The approach in [27] followed design ...
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TRUSTED CLOUD ARCHITECTURE: BEYOND SECURITY MODEL
... the trust management server where the core functional modules of the broker are deployed, including a trusted resource matchmaking and distributing module, an adaptive trust evaluation module, and a ...
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CONSUMER TRUST IN ONLINE SHOPPING IN THE DOABA REGION OF PUNJAB
... of trust in e- commerce were the major reasons that the consumers do not want to engage in an online shopping (Lee and Turban, 2001; Chen et ...customer. Trust is a complex issue that has been studied in ...
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Frangi’s Vessel Detection Approach for Coronary Angiogram Segmentation
... If this condition is true, then pixel (x, y) is added to the region. Where I (x, y) is the grey scale value of the pixel and mean (x, y) is the mean intensity of pixels in the current window that is the mean ...
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Alternating direction method of multipliers for the extended trust region subproblem
... In this paper, we have applied ADMM for solving the extended trust region subproblem. The convergence of the method to the first order stationary con- ditions is established and the quality of the solutions ...
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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 used to ...
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Trust Region Newton Method for Large-Scale Logistic Regression
... In Sections 3 and 4, we discuss some existing optimization methods for logistic regression and conduct comparisons. As Newton method uses the exact Hessian (second derivative), it has quadratic convergence near the ...
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A tensor trust region model for nonlinear system
... where p > 0 is an integer, and 0 < c < 1 and 0.5 < γ < 1 are constants. Its superlinear con- vergence is obtained under the local error bound assumption, by which it has been proved that the local error ...
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Eco Beach Cleaner
... The effects of level of automation and adaptive automation on human performance, Situation awareness and workload in a dynamic control task. Trust in automation: Desi[r] ...
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Investigating learner trust in adaptive learning systems
... to trust in ...greater trust in an ...to trust it, this suggests understanding the manner in which the model is inferred, may not be crucial in creating ...lower trust in the system's ability ...
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