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。
We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
引出了子空间方法多用户检测的概念，并给出了线性解相关(dec)多用户检测和最小均方误差(MMSE)多用户检测的子空间表示。
Educe the concept of subspace approach for multi-user detection, give out the subspace expression about DEC and MMSE multi-user detection.
讨论了子空间上一类矩阵反问题，得到了问题有解的充分必要条件及解的表达式。
In this paper, a class of inverse problem for matrices on subspace is studied.
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