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two problem about the paper and source code #49

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yanyiss opened this issue Nov 8, 2021 · 3 comments
Open

two problem about the paper and source code #49

yanyiss opened this issue Nov 8, 2021 · 3 comments

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@yanyiss
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yanyiss commented Nov 8, 2021

hello, i've read your paper: QuadriFlow: A Scalable and Robust Method fo Quadrangulation. but i got puzzled with this two problems:
d91409531ed448663ae7f9d12f0d897
d08a11650a0d3478b3df5b97283ce56
so how i can get (7) by splitting? i thought (7) should be the 1-norm of difference between the two variables, but why it's the sum?
Another question is that in your source code, you seemed to give up transferring (7) to MCF but select the 1-norm of d as your optimization objective restricting a small change with d-star. so i want to know if i took my wrong way or it's truth.
glad to your answer.

@yanyiss yanyiss closed this as completed Nov 9, 2021
@yanyiss yanyiss reopened this Nov 9, 2021
@jrsjrsjrsjrs
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jrsjrsjrsjrs commented Nov 9, 2021 via email

@yanyiss
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yanyiss commented Nov 10, 2021

so how i can get (7) by splitting? i thought (7) should be the 1-norm of difference between the two variables, but why it's the sum?
Hi Yanyiss, ∂d_e^+ and ∂d_e^- are not the same as d_e and d*_e. Rather: if d_e - d_e^* is positive, the we set ∂d_e^+ = d_e - d_e^* and ∂d_e^- = 0. Whereas if d_e - d_e^* is negative, the we set ∂d_e^+ = 0 and ∂d_e^- = d_e^* - d_e. That way, we obtain the property that ∂d_e^+ + ∂d_e^- = ||d_e - d*_e||_1, while also ensuring that ∂d_e^+ and ∂d_e^- are always nonnegative. I hope this helps, Jonathan

Thanks a lot and it does help me. By the way, I found I got mistakes about the second question while reading the codes. So I've understood them. Thanks again for your time.

@jrsjrsjrsjrs
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jrsjrsjrsjrs commented Nov 10, 2021 via email

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