The types listed by Wang Jing-Yuan are mentioned on

https://petsc.org/main/docs/manualpages/TS/TSIRK.html

So maybe they do exist, but I haven't tried them.  TSARKIMEX are a better-tested alternative?

Ed


On Tue, Oct 5, 2021 at 2:44 AM <petsc-dev-request@mcs.anl.gov> wrote:
Send petsc-dev mailing list submissions to
        petsc-dev@mcs.anl.gov

To subscribe or unsubscribe via the World Wide Web, visit
        https://lists.mcs.anl.gov/mailman/listinfo/petsc-dev
or, via email, send a message with subject or body 'help' to
        petsc-dev-request@mcs.anl.gov

You can reach the person managing the list at
        petsc-dev-owner@mcs.anl.gov

When replying, please edit your Subject line so it is more specific
than "Re: Contents of petsc-dev digest..."


Today's Topics:

   1.  Question about the fully implicit Runge-Kutta methods (TS)
      (Wang Jingyuan)
   2. Re:  Question about the fully implicit Runge-Kutta methods
      (TS) (Matthew Knepley)


----------------------------------------------------------------------

Message: 1
Date: Tue, 5 Oct 2021 03:56:48 +0000
From: Wang Jingyuan <mc05569@connect.um.edu.mo>
To: "petsc-dev@mcs.anl.gov" <petsc-dev@mcs.anl.gov>
Subject: [petsc-dev] Question about the fully implicit Runge-Kutta
        methods (TS)
Message-ID: <3CE2CAF7-35EC-44E9-AE78-856BEF270AA2@connect.umac.mo>
Content-Type: text/plain; charset="utf-8"

Dear Sir or Madam,

I am a student of the University of Macau, I am trying to learn PETSc and I have two questions about the TSIRK.

1.PETSc 3.16.0 adds ?irk" for the TSType and it offers many options like TSIRK1BEE, TSIRK2C, TSIRK2D, TSIRK2E, TSIRK3, TSIRKL2,  I am not sure how to use them and if only Gaussian points can be used (Radau or Labatto may not offered).

2.Maybe there is a similar option to implement the fully implicit Runge-Kutta methods in PETSc 3.15 or other previous versions? For example, if I want to solve a time dependent problem with a butcher table like below, do I need to input it by myself?
[cid:CF3DAFB6-6115-45C2-BEE4-0ADCA66709BB]

Thank you very much for your help.

Best regards,
Wang Jing-Yuan
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.mcs.anl.gov/pipermail/petsc-dev/attachments/20211005/ce44e7c5/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: PastedGraphic-1.jpeg
Type: image/jpeg
Size: 6702 bytes
Desc: PastedGraphic-1.jpeg
URL: <http://lists.mcs.anl.gov/pipermail/petsc-dev/attachments/20211005/ce44e7c5/attachment-0001.jpeg>

------------------------------

Message: 2
Date: Tue, 5 Oct 2021 06:43:02 -0400
From: Matthew Knepley <knepley@gmail.com>
To: Wang Jingyuan <mc05569@connect.um.edu.mo>
Cc: "petsc-dev@mcs.anl.gov" <petsc-dev@mcs.anl.gov>
Subject: Re: [petsc-dev] Question about the fully implicit Runge-Kutta
        methods (TS)
Message-ID:
        <CAMYG4GkKpmJ1mA5DMSsYcjHSJ_5PKisZ0u78WbjQbxTh_v+SOg@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

On Tue, Oct 5, 2021 at 12:42 AM Wang Jingyuan <mc05569@connect.um.edu.mo>
wrote:

> Dear Sir or Madam,
>
> I am a student of the University of Macau, I am trying to learn PETSc and
> I have two questions about the TSIRK.
>
> 1.PETSc 3.16.0 adds ?irk" for the TSType and it offers many options like TSIRK1BEE,
> TSIRK2C, TSIRK2D, TSIRK2E, TSIRK3, TSIRKL2,
>

The types you mention above do not exist. For instance, the first one
"TSIRK1BEE" is actually
https://petsc.org/main/docs/manualpages/TS/TSARKIMEX1BEE.html


>  I am not sure how to use them and if only Gaussian points can be used
> (Radau or Labatto may not offered).
>

There is currently only one IRK type, which is the Gauss method.


> 2.Maybe there is a similar option to implement the fully implicit
> Runge-Kutta methods in PETSc 3.15 or other previous versions? For example,
> if I want to solve a time dependent problem with a butcher table like
> below, do I need to input it by myself?
>
> Thank you very much for your help.
>

I do not understand your question. IRK is only present is 3.16

  Thanks,

      Matt


> Best regards,
> Wang Jing-Yuan
>


--
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener

https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.mcs.anl.gov/pipermail/petsc-dev/attachments/20211005/3b41e7c8/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: PastedGraphic-1.jpeg
Type: image/jpeg
Size: 6702 bytes
Desc: not available
URL: <http://lists.mcs.anl.gov/pipermail/petsc-dev/attachments/20211005/3b41e7c8/attachment.jpeg>

------------------------------

Subject: Digest Footer

_______________________________________________
petsc-dev mailing list
petsc-dev@mcs.anl.gov
https://lists.mcs.anl.gov/mailman/listinfo/petsc-dev


------------------------------

End of petsc-dev Digest, Vol 154, Issue 7
*****************************************


--
Ed Bueler
Dept of Mathematics and Statistics
University of Alaska Fairbanks
Fairbanks, AK 99775-6660
306C Chapman