本文研究含有线性等式约束的非线性规划问题的降维算法。

In this paper, the descending dimension algorithm for nonlinear programming problems with linear equality constraints are discussed.

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本文讨论了约束非线性规划问题的降维算法，为非线性规划算法的研究提供了一种新途径。

In this paper, descending algorithms for the constrained nonlinear programming problems are discussed and we offer a new way to research methods of nonlinear programming by that.

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局部线性嵌入(LLE)算法是有效的非线性降维方法，时间复杂度低并具有强的流形表达能力。

The Locaally linear Embedding (LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.

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