BFGS algorithm is one of the most effective methods in solving the non-constrained optimization problems.
BFGS算法是解无约束优化问题的公认的最有效的算法之一。
The efficiency of verifying validity of the numerical algorithm is more superior than the standard limited memory BFGS algorithm.
进行数值实验验证算法的有效性，比标准有限记忆BFGS算法更优越。
The first part of this paper mainly introduces the history of BFGS algorithm and the present situation of modified BFGS algorithm.
本文的前半部分介绍了BFGS算法的历史和修正bfgs算法的研究现状。
To improve the efficiency and robustness of constraint solving algorithms, a hybrid algorithm to integrate chaos method into BFGS algorithm was proposed.
为了提高约束求解的效率和鲁棒性，提出了一个将混沌方法嵌入BFGS算法的约束求解混和算法。
The BFGS algorithm applied in GCS is analyzed and pointed out two shortcomings: (1) always trapped in local optimal solution; (2) can not pass through the critical point.
分析了BFGS算法在约束求解中的应用，指出了在约束求解这一特定的领域利用BFGS算法进行约束求解的两大缺陷：（1）容易陷入局部最优解：（2）无法穿越临界点。
Based on the graphical implication of reliability index, applying chaos algorithm and BFGS algorithm, a new reliability analysis method on the basis of hybrid chaos algorithm was presented.
根据可靠度指标的几何意义，联合应用混沌算法和BFGS算法，提出了基于混沌混合算法的可靠度分析方法。
The one dimension search method of second differential algorithm is used in the Variable metric method of BFGS.
在BFGS变尺度算法中所用的一维搜索方法是二次插值算法。
The paper proposes a nonmonotonic BFGS-trust-region algorithm for unconstrained optimization.
给出了一个解无约束最优化问题的非单调的新的BFGS校正的信赖域算法。
The paper proposes a nonmonotonic BFGS-trust-region algorithm for unconstrained optimization.
给出了一个解无约束最优化问题的非单调的新的BFGS校正的信赖域算法。
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