研究给出了一类新的求解无约束优化问题的下降算法。
In this paper, a class of new descent algorithm is proposed to solve unconstrained optimization problems.
新算法与传统的最陡下降算法相比，具有运算量小、容易实现等优点。
It is of lower complexity in computation and far more easy to be implemented as compared with the original steepest descent algorithm.
为了轨道优化的实时计算，构造了一类梯度投影下降算法，并且给出实际应用的具体步骤。
The gradient projection algorithms are constructed for the real-time computation of trajectory optimization, and the concrete steps of the algorithms are also given.
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