the generalized quasi-newton method for nonconvex unconstrained optimization problems 一般无约束优化问题的广义拟牛顿法
an improvement of simulated annealing algorithm solving unconstrained optimization problem 无约束优化问题模拟退火算法的改进
global convergence of the non-quasi-newton method for unconstrained optimization problems problems 基于非拟牛顿方法无约束最优化问题的全局收敛性
algorithms based on trust regions have been shown to be robust for unconstrained optimization problems 摘要信赖域方法是解无约束优化问题的有效的和可靠的方法。
fourthly, multi-parameter control methods, super-memory gradient methods for solving sub-unconstrained optimization problems are investigated 四是提出多参数控制算法和求解子问题的超记忆梯度算法。