jacobwilliams / nlesolver-fortran Goto Github PK

Use https://github.com/jacobwilliams/fmin as a dependency in FPM.

Hey, so just as the github page says, I ran the command :

fpm build --profile release

Yet the compilation goes well until the part

Depuis https://github.com/jacobwilliams/LSMR

• tag 1.0.0 -> FETCH_HEAD

After that I get the error :

cmd_build:model error:Key fortran is not allowed in package file
STOP 1

I am using Ubuntu 22.04 and gfortran 11.4.

Add a feature so that the user can supply a custom linear solver.

Another sparse option: https://web.stanford.edu/group/SOL/software/lsmr/

This line

fjac = prev_fjac + &
    matmul((delf-matmul(prev_fjac,delx)),&
    transpose(delx))/delxmag2

will segfault on intel for a large problem (e.g., n=1406, m=1200).

What can we do about it?

See reference: https://jatm.com.br/jatm/article/view/373/pdf_38

It seem broken when using OpenMP on an Apple Silicon Mac:

fpm run halo_solver --profile release --flag "-O2 -fopenmp" -- examples/example.json

results in:

 ----------------------
 Solving...
 ----------------------
 
ITER                        NORM(X)                        NORM(F)
   1             8.4871544844105244             0.0000000000000000
 
 ----------------------
 Solution...
 ----------------------

Hi,
Thanks for making your codes available. I'm trying to use them to solve a collocation problem. I wonder whether it is possible to avoid providing the jacobian of the function (ie letting your code computing it numerically). From the source code it looks like grad is mandatory. Is this the case?
Thanks and best,
Gianni

Can we make a sparse version of this, perhaps using the LSQR library?

Hello,
first of all, thank you for the library.
I was wondering if it is possible to compile the library with CMake because i need to use the library for a personal project that has the dependencies already created with CMake.

Best wishes,
Nicola

I suggest adding the topics nonlinear-equations, newton-raphson.

Look into sparse Broyden options.

See reference: https://www.ams.org/journals/mcom/1970-24-109/S0025-5718-1970-0258276-9/S0025-5718-1970-0258276-9.pdf

LSRN looks very interesting. A parallel iterative least squares solver for strongly over- and under-determined systems. Would have to translate it into Fortran.

Reference: https://web.stanford.edu/group/SOL/software/lsrn/

The LAPACK routines are only double precision, so this library isn't going to work when compiling with single or quad precision.