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UNCONSTRAINED: 作品数：77被引量：100H指数：6; 导出分析报告; 相关领域：理学更多>>; 相关机构：对外经济贸易大学北京科技大学华南理工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家教育部博士点基金国家重点基础研究发展计划国家科技支撑计划更多>>

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期刊=Journal of Applied Mathematics and Physics

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Global Convergence of an Extended Descent Algorithm without Line Search for Unconstrained Optimization被引量：1: 《Journal of Applied Mathematics and Physics》2018年第1期130-137,共8页Cuiling Chen Liling Luo Caihong Han Yu Chen; In this paper, we extend a descent algorithm without line search for solving unconstrained optimization problems. Under mild conditions, its global convergence is established. Further, we generalize the search directi...; 关键词：UNCONSTRAINED Optimization DESCENT Method Line SEARCH Global CONVERGENCE

A Non-Monotone Trust Region Method with Non-Monotone Wolfe-Type Line Search Strategy for Unconstrained Optimization: 《Journal of Applied Mathematics and Physics》2015年第6期707-712,共6页Changyuan Li Qinghua Zhou Xiao Wu; In this paper, we propose and analyze a non-monotone trust region method with non-monotone line search strategy for unconstrained optimization problems. Unlike the traditional non-monotone trust region method, our alg...; 关键词：UNCONSTRAINED Optimization Non-Monotone TRUST Region Method Non-Monotone Line Search Global Convergence

An Efficient Pattern Search Method被引量：1: 《Journal of Applied Mathematics and Physics》2013年第4期68-72,共5页Xiaoli Zhang Qinghua Zhou Yue Wang; Pattern search algorithms is one of most frequently used methods which were designed to solve the derivative-free optimization problems. Such methods get growing need with the development of science, engineering, econ...; 关键词：UNCONSTRAINED OPTIMIZATION DERIVATIVE-FREE OPTIMIZATION Pattern SEARCH Methods POSITIVE BASES

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