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While analysing #1097, we discovered that the numerics of the `gif_cond_` neuron have slight weakness: The spike triggered current is evolved outside the ODE solver, so a constant stc value is applied…
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There appears to be numerical instability in the scipy solver, depending on parameter combinations the plots don't look quite right. This can probably be solved by specifying a smaller time-step by de…
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Observed occasional numerical stability problems in some cases:
- long range and complicated bathymetry
- complicated sound speed profile with `:smooth` interpolation
In most cases these are reso…
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This may be less of an issue and more of a discussion. In BrainPy's documention on [numerical solvers](https://brainpy.readthedocs.io/en/latest/tutorial_toolbox/ode_numerical_solvers.html#), it is men…
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```
Use internal fields from smaller dpl as an input for the iterative solver
of a simulation with larger dpl. The general methodology is described
somewhere in Numerical Recipes. This is especially i…
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**Describe the bug**
I'm trying to run an optimisation problem for warehouse routing. [link](https://purehost.bath.ac.uk/ws/portalfiles/portal/227399764/Inventory_routing_in_a_warehouse_The_storage_r…
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```
Use internal fields from smaller dpl as an input for the iterative solver
of a simulation with larger dpl. The general methodology is described
somewhere in Numerical Recipes. This is especially i…
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We might want to collect numerical parameters in some dedicated object, possibly of the `MaterialConstants` type. @keileg's comments copied from other discussion:
Agree! I can think of a few reason…
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Now cvode seems to be a reliable solver for stiff problems, but we still run into numerical issues from time to time (well we do go complex, but still).
I am just wondering if we are sqeezing every…
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Although there have been a lot of efforts in Caffe (such as unified RNG) to ensure reproducible and deterministic results, Caffe is currently still non-deterministic in several ways as described below…