update docs

huangli712 · huangli712 · commit 7b5a6ca9586f · 2022-11-30T10:04:04.000+08:00
diff --git a/docs/src/man/feature.md b/docs/src/man/feature.md
@@ -34,4 +34,4 @@ In **Table 1**, `Y` means yes while `N` means no. `Interactive mode`, `Script mo
 
 !!! info
 
-    Note that analytical continuation problem is a hotspot in computational physics and many-body physics all the time. Many efforts have been devoted to solve it in recent years. Noticeable achievements includes maximum quantum entropy method, Nevanlinna analytical continuation, blocked-mode sampling and grid point sampling in stochastic analytical continuation, constrained stochastic analytical continuation, machine learning assisted analytical continuation, and so on. We would like to incorporate these new progresses into the ACFlow toolkit in the near future. BTW, contriibutions from the users are always welcomed.
+    Note that analytical continuation problem is a hotspot in computational physics and many-body physics all the time. Many efforts have been devoted to solve it in recent years. Noticeable achievements include maximum quantum entropy method, Nevanlinna analytical continuation, blocked-mode sampling and grid point sampling in stochastic analytical continuation, constrained stochastic analytical continuation, machine learning assisted analytical continuation, and so on. We would like to incorporate these new progresses into the ACFlow toolkit in the near future. BTW, contriibutions from the users are always welcomed.

Original file line number	Diff line number	Diff line change
@@ -34,4 +34,4 @@ In Table 1, `Y` means yes while `N` means no. `Interactive mode`, `Script mo
`34`	`34`
`35`	`35`	`!!! info`
`36`	`36`
`37`		- Note that analytical continuation problem is a hotspot in computational physics and many-body physics all the time. Many efforts have been devoted to solve it in recent years. Noticeable achievements includes maximum quantum entropy method, Nevanlinna analytical continuation, blocked-mode sampling and grid point sampling in stochastic analytical continuation, constrained stochastic analytical continuation, machine learning assisted analytical continuation, and so on. We would like to incorporate these new progresses into the ACFlow toolkit in the near future. BTW, contriibutions from the users are always welcomed.
	`37`	+ Note that analytical continuation problem is a hotspot in computational physics and many-body physics all the time. Many efforts have been devoted to solve it in recent years. Noticeable achievements include maximum quantum entropy method, Nevanlinna analytical continuation, blocked-mode sampling and grid point sampling in stochastic analytical continuation, constrained stochastic analytical continuation, machine learning assisted analytical continuation, and so on. We would like to incorporate these new progresses into the ACFlow toolkit in the near future. BTW, contriibutions from the users are always welcomed.