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.
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.
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.
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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