mumps | - Based on MUMPS V1
kandi X-RAY | mumps Summary
kandi X-RAY | mumps Summary
Based on [MUMPS V1 1.65] from Ray Newman. The master branch gets only bug fixes. If you are looking for speed, additional MUMPS commands and functions, object-oriented syntactic sugar, multiple volume sets, remote volume sets, online backup use the [stable] branch. Fixes: * faster Locate() * db_rekey fixes (level > 3) * prevent changed Garbit() blocks to leave the global buffer * fixes from MUMPS V1 1.66 and 1.70 * recursive indirection * $BP handling * $FNUMBER() memory leaks * EINTR handling during semaphore operations * $JUSTIFY() with negative numbers * external variable call memory leaks * standard handle redirection in JOB * socket communication options (SO_REUSEADDR, SO_NOSIGPIPE) * robust error handling in MUMPS environment initialization * no writer deadlock due to full dirty queue * removed race in global KILL (block removal) * atomic access in dirty/garbage queue * reverse $QUERY() for locals * $FNUMBER() suppress sign for 0 * JOB argument passing * fixed cached block usage in Get_data() when journaling turned off and writing * fixed Control-C handling * close database and journal file on dismount.
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QUESTION
I have both mpich and openmpi in my Ubuntu 20.04.
...ANSWER
Answered 2021-Mar-09 at 10:34It seems all alternatives, except for one (link group mpi
), were already set for openmpi
QUESTION
Traceback (most recent call last):
File "/home/rory/Documents/coloring_test/problemSolver.py", line 151, in
p.run_driver()
File "/home/rory/.local/lib/python3.6/site-packages/openmdao/core/problem.py", line 663, in run_driver
return self.driver.run()
File "/home/rory/.local/lib/python3.6/site-packages/openmdao/drivers/pyoptsparse_driver.py", line 493, in run
signal.signal(sigusr, self._signal_cache)
File "/usr/lib/python3.6/signal.py", line 47, in signal
handler = _signal.signal(_enum_to_int(signalnum), _enum_to_int(handler))
TypeError: signal handler must be signal.SIG_IGN, signal.SIG_DFL, or a callable object
...ANSWER
Answered 2021-Feb-16 at 16:11That error is caused by a feature that allows you to send a termination signal from the OS and get a clean exit from SNOPT. That feature seems to cause problems with some operating systems, and we should really turn it off by default.
You can work around the problem by setting:
QUESTION
I'm having trouble using one of the map()
functions in r to compute the correlation between variables in a data frame.
The question is "use one of the map functions to compute the Pearson’s correlation between Hepatitis A and each of the other 6 diseases, and return a double vector as the output."
The data shows each disease' yearly incidence rate each year.
I'm able to compute the correlation between Hepatitis A and other diseases by using the cor()
function, but is there a way to use one of the map()
functions to compute the correlation?
ANSWER
Answered 2021-Jan-22 at 03:13You can create a vector of column names that you want to apply the cor
function to and then use map_dbl
to get a double vector.
QUESTION
For starters, the data comes from the us_contagious_diseases dataset, and the packages are tidyverse and ggpubr
...ANSWER
Answered 2020-Oct-12 at 15:34I guess you need to pre-calculate the p-values:
QUESTION
I am getting following error while simulating a chemical reactor with 50 series CSTRs in Dynamic mode (m.options.imode=4) with time-series data. The steady-state runs just fine. Also, dynamic simulation seems to work for a simpler model with 15 CSTRs.
Is there a solution for this issue?
...ANSWER
Answered 2020-Sep-02 at 14:09If the simultaneous mode (IMODE=4
) is too large and runs out of memory then I recommend that you try the sequential mode with (IMODE=7
).
QUESTION
I cannot install petsc4py
in my Anaconda environment using pip
.
Installing with conda
doesn't work because it won't check my predefined PETSC_DIR and PETSC_ARCH environment variables during installation. numpy
and cython
are installed.
The error output by pip install
is shown in section IV, below.
I have Ananconda 2020.02, installed with Python 3.7. My OS is Ubuntu 18.04.
III) Reproducing the issue 1) Make a user installation of OpenMPI 4.0.3Configured using
...ANSWER
Answered 2020-Apr-04 at 15:49I was trying to install petsc4py
with the then latest released version 3.12.0 while having installed and configured PETSc version 3.13.0. This now seems quite obvious that it wouldn't work, but there wasn't a clear mention of this in the documentation.
You can either install the none-released version using pip install https://bitbucket.org/petsc/petsc4py/issues/137/error-installing-in-anaconda-environment
OR wait for it to be released officially!
Make sure that your version of PETSc is the same as petsc4py
!
QUESTION
I am trying to deploy a docker image on azure. I am able to create the docker image successfully, also deploy successfully. But I am not able to see anything on my URL I specified to create the deployment for container. My app is a python flask app which also uses dash.
I followed this azure tutorial from documentation. The example app works. But my app does not. I don't know how to debug this or where I am going wrong.
Dockerfile
ANSWER
Answered 2019-Aug-23 at 21:12As discussed, a couple of points to your question:
- I think you meant to map the internal port 8050 to the external port 80. But this is not possible currently (Aug-2019) in Azure Container Instances. There is an open item on Uservoice for this.
--ports 80 8050
means that you expose both ports, not that you map one to the other. - The actual problem, as we found out, was that the python flask app was listening only on
127.0.0.1
, not on0.0.0.0
. So it was not accepting requests from the outside.
QUESTION
This is something we would like to do (storing data in the MUMPS format in Information Server) but it seems like we are unable to store data in this format. Does anyone have guidance or a workaround?
...ANSWER
Answered 2019-Jul-19 at 21:17Whether via 3rd party ODBC/JDBC drivers or adapters, you can use DS with/for MUMPs in my experience. I would recommend checking with their specific MUMPs vendor on the availability of ODBC/JDBC drivers. Otherwise, iWay (Information Builders) provides/supports adapters for this. Hope this helps.
QUESTION
I have some large (N-by-N for N=10,000 to N=36,000,000) sparse, complex, Hermitian matrices, typically nonsingular, for which I have a spectral slicing problem. Specifically I need to know the exact number of positive eigenvalues.
I require a sparse LDLT decomposition -- is there one? Ideally, it will be a multifrontal algorithm and so well parallelized, and have the option of computing only D and not the upper triangular or permutation matrices.
I currently use ldl()
in Matlab. This only works for real matrices so I need to create a larger real matrix. Also, it always computes L as well as D. I need a better algorithm to fit with 64GB RAM. I am hoping Python will be more customizable. (If so, I will learn Python.) I should add: I can get 64GB RAM per node, and can get 6 nodes. Even with a single machine with 64GB RAM, I would like to stop wasting RAM storing L only to delete it.
Perhaps someone wrote a Python front-end for MUMPS (MUltifrontal Massively Parallel Solver)?
I would have use for a non-parallel Python version of LDLT, as a lot of my research involves many matrices of moderate size.
...ANSWER
Answered 2019-Jul-11 at 02:45I need a better algorithm to fit with 64GB RAM. I am hoping Python will be more customizable. (If so, I will learn Python.)
If this were ever possible:
QUESTION
Separating question text from question options. How do I get this?
I tried it but it doesn't work very well:
...ANSWER
Answered 2019-Jun-06 at 17:34If we only wish to detect three listed chars, we would be starting with a simple expression such as:
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