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Hello Lu,
Thanks for the excellent library. I have a few questions. Thanks in ahead for your time.
1) Is it possible to solve a coupled system of ODEs (time varying) and PDEs (time and space varyi…
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Calling all lurkers, yes you đź‘€.
Chances are if you are reading this you are interested in solving PDEs - we want to hear your ideas for a common base either here or in an issue.
What information…
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Hello,
You write that this repository is the AD for the paper: Physics-informed Quantum Deep Neural Network for Solving PDEs. I cannot find the paper. Are you still writing it? Do you have a prepri…
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- Review of the Literature
- RBF Algorithms
- GPU for PDEs
- GPU for RBF
- Explicit/Implicit RBF
- Explicit/Implicit RBF-FD
- Implicit GPU
- Compare contrast and evaluate previous publicat…
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It would be great to see support for the development of PDEs in the context of formalizing partial derivatives, finite difference methods, and well posedness for PDEs.
It seems that there is still …
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Any tips on using DeepXDE to solve PDEs with terminal time boundary conditions? Consider a PDE problem for a function u(x,t) defined on the time interval [0, T] with the terminal boundary condition u(…
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If the Hilbert transform of the second partial derivative is diagonal in some basis, then time-evolution could be taken care of using a fourth-order time-stepper for stiff PDEs, like [this](https://pe…
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For years now, every new version of GCC has been even more picky with thinking certain c_vector instances may be uninitialized.
Some of these warnings have been correct, but increasingly large numb…
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In Jan 2018 @MaximilianJHuber posted a [question ](https://discourse.julialang.org/t/solving-a-pde-which-comes-from-an-hjb-in-differentialequations-jl/8617?u=albert_zevelev)about (one of) the most com…
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Discretized PDEs generate dict-based solutions of the form `sol.u[dv(iv1,iv2)][idx1,idx2]` which do not allow use of solver option `save_idx = [idx_n]`.
This makes parameter fitting more challengin…