Closed Xilun1995 closed 3 years ago
Use the union of observe_x1 and observe_x2.
anchors=geomtime.union((observe_x1, observe_x2, observe_x3))
shows an error:
AttributeError: 'GeometryXTime' object has no attribute 'union'
How to perform the union for 3 point sets?
Thank you in advance!
np.vstack
hello, I want to know how to solve a fractional differential equation in time with derivative of caputo using your framework for example u_t(caputo)-u_xx=f(x). thanks
No. But you can implement time derivative similar as the space derivative, see the fPINN paper.
Hello, I'm wondering if this framework can only solve spatial fractional derivatives of the Laplace operator. Also, in your paper titled "fPINNs: Fractional Physics-Informed Neural Networks", where in the framework's code module is the finite difference schemes for fractional derivatives, specifically the following equation, implemented? Finite difference schemes for fractional derivatives,$\begin{aligned} \frac{\partial^\gamma \tilde{u}(\boldsymbol{x}, t)}{\partial t^\gamma} \approx \mathcal{L}{\Delta t}^\gamma \tilde{u}(\boldsymbol{x}, t):=\frac{1}{\Gamma(2-\gamma)(\Delta t)^\gamma}\left{-c{\lceil\lambda t\rceil-1} \tilde{u}(\boldsymbol{x}, 0)+c0 \tilde{u}(\boldsymbol{x}, t)\right. & \ & \left.+\sum{k=1}^{\lceil\lambda t\rceil-1}\left(c{\lceil\lambda t\rceil-k}-c{\lceil\lambda t\rceil-k-1}\right) \tilde{u}(\boldsymbol{x}, k \Delta t)\right}\end{aligned}$ Where in the code is this part implemented?
As the code shown, we used the training data to solve the inverse problem.
But I am confused what if observe_x1 is different from observe_x2?(anchor should be equal to observe_x1+observe_x2?) If not, how to define the anchor. Thank in advance.
observe_y1 = dde.PointSetBC(observe_x1, Ca, component=0) observe_y2 = dde.PointSetBC(observe_x2, Cb, component=1)