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A Nonlinear Conjugate Gradient Algorithm under Strong Wolfe-Powell Line Search for Large Scale Unconstrained Optimization Problems
Publication year - 2019
Language(s) - English
DOI - 10.54908/iljs.2019.06.01.003
Subject(s) - conjugate gradient method , nonlinear conjugate gradient method , line search , convergence (economics) , mathematical optimization , mathematics , gradient method , conjugate residual method , algorithm , nonlinear system , scale (ratio) , line (geometry) , derivation of the conjugate gradient method , computer science , gradient descent , artificial intelligence , artificial neural network , physics , geometry , computer security , quantum mechanics , radius , economics , economic growth

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