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  1. Home
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Browsing by Author "Yeshitla, Abaye"

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    Trust Region Newton With Dogleg Method
    (Addis Ababa University, 2018-05-02) Yeshitla, Abaye; Guta, Berhanu (PhD)
    In this project, we propose a trust region dogleg method algorithms to solve a trust region subproblems arising form unconstrained optimization. The method can deal with by constricting a dogleg paths. The case when the Hessian B of quadratic models is positive de nite. The philosophy and fundamental ideas of trust region algorithms are discussed and proved that the method is globally convergent and has a supper linear convergence rate. And then the nal algorithm is programmed in MATLAB and implemented by taking appropriate test problem.

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