First, we relax the uncertainty set to be intersection of a closed convex cone and the translation of an affine subspace.

首先我们放松了对不确定集的限制，把鲁棒线性最优化拓展到凸锥和子空间平移的交的不确定集的情形。

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We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.

使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。

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