Research Article
On Randomized Sampling Kaczmarz Method with Application in Compressed Sensing
Table 4
IT and CPU of RK, GRK, and RSK (k) for m × n matrices A with different m and n.
| Name | refine | cage5 | bibd−16−8 | WorldCities | flower−5−1 | relat6 | football |
| m × n | 29 × 62 | 37 × 37 | 120 × 12870 | 315 × 100 | 211 × 201 | 2340 × 157 | 35 × 35 | Density | 8.51% | 17.02% | 23.33% | 23.87% | 1.42% | 2.21% | 9.63% | Cond(A) | 66.67 | 15.42 | 9.54 | 66.00 | Inf | Inf | Inf | RK | IT | 25963.3 | 10046.1 | 3058.5 | 24641 | 43611 | 9027.0 | — | CPU | 2.6477 | 1.0146 | 2.3381 | 2.5843 | 4.5635 | 1.4171 | — | GRK | IT | 689.1 | 556.1 | 1060.9 | 8925.8 | 9034.8 | 1672.9 | 102331 | CPU | 0.0858 | 0.0676 | 1.8835 | 1.3617 | 1.2300 | 0.4332 | 11.8878 | RSK (2) | IT | 1046.3 | 1173.5 | 1932.1 | 19249.1 | 17504.2 | 7578.5 | 189040.5 | CPU | 0.0311 | 0.0405 | 1.1868 | 0.5917 | 0.5764 | 0.2641 | 5.1743 | Speed-up | 2.76 | 1.67 | 1.59 | 2.30 | 2.13 | 1.64 | 2.30 | RSK (5) | IT | 632.4 | 614.3 | 1182.9 | 11435.0 | 11157.3 | 3808.3 | 127467.4 | CPU | 0.0193 | 0.0259 | 1.0222 | 0.3645 | 0.3762 | 0.1535 | 3.4984 | Speed-up | 4.45 | 2.61 | 1.84 | 3.74 | 3.27 | 2.82 | 3.40 |
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