计算题1.试用牛顿法求
<Object: word/embeddings/oleObject1.bin>
的最优解,设
<Object: word/embeddings/oleObject2.bin>
。
初始点为
<Object: word/embeddings/oleObject3.bin>
,则初始点处的函数值和梯度分别为
<Object: word/embeddings/oleObject4.bin>
,沿梯度方向进行一维搜索,有
<Object: word/embeddings/oleObject5.bin>
<Object: word/embeddings/oleObject6.bin>
为一维搜索最佳步长,应满足极值必要条件
<Object: word/embeddings/oleObject7.bin>
<Object: word/embeddings/oleObject8.bin>
,从而算出一维搜索最佳步长
<Object: word/embeddings/oleObject9.bin>
则第一次迭代设计点位置和函数值
<Object: word/embed ...


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