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Description: T1 relaxation NNLS simulation setup.
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Size: 1024 |
Author: Lause |
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Description: 文章Decoding by Linear Programming实现源代码-Article Decoding by Linear Programming implementation source code
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Size: 14427136 |
Author: yjj |
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Description: PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代
财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度
至少前终止线性。
广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行
在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。
随着PLS - DN，此演示包建议实施五
其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD
-PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD
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Size: 654336 |
Author: wang |
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Description: 线性方程非负最小二乘算法
由 Charles L. Lawson and Richard J. Hanson开发的-NONNEGATIVE LEAST SQUARES
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Size: 4096 |
Author: SUN |
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