机译:具有充分下降性质的非线性共轭梯度法用于无约束优化
Central Japan Railway Company JR Central Towers, 1-1-4, Meieki Nakamura-ku, Nagoya, Aichi 450-6101, Japan;
Department of Management System Science Yokohama National University, 79-4 Tokiwadai Hodogaya-ku, Yokohama 240-8501, Japan;
Department of Mathematical Information Science Tokyo University of Science, 1-3, Kagurazaka Shinjuku-ku, Tokyo 162-8601, Japan;
Nonlinear conjugate gradient method; scaled conjugate gradient method; unconstrained optimization; sufficient descent property; global convergence;
机译:具有充分下降条件的非线性共轭梯度方法用于大规模无约束优化
机译:一种无约束优化问题的充分下降的代元型非线性共轭梯度法
机译:具有充分下降条件的改进非线性共轭梯度法无约束优化
机译:两种改进的具有足够下降特性的PRP共轭梯度方法可无约束优化
机译:Hybrid Runge-Kutta和拟牛顿无规约非线性优化方法
机译:求解大规模无约束优化问题和非线性方程的共轭梯度算法
机译:非约束优化的非线性共轭梯度法及足够的下降特性