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updates precision of table values
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@@ -93,7 +93,7 @@ It brings us to another conclusion that OMT outperforms FMT when group size is l
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| Algorithm\Tree depth | d=10 | d=20 |
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| Algorithm\Tree depth | d=10 | d=20 |
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| -------------------- | --------- | --------- |
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| -------------------- | --------- | --------- |
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| FMT | 0.065 MB | 67.10 MB |
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| FMT | 0.065 MB | 67.10 MB |
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| OMT | 0.097 MB | 100.66 MB |
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| OMT | 0.098 MB | 100.66 MB |
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However, the MT storage overhead may not be reasonable for mobile devices especially if we plan to load the MT in memory in which case we will/may face the per-app memory cap of `32 MB` on Android phones.
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However, the MT storage overhead may not be reasonable for mobile devices especially if we plan to load the MT in memory in which case we will/may face the per-app memory cap of `32 MB` on Android phones.
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