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We should benchmark the performances of automatic differentiation provided by the three frameworks (TF, PyTorch, Jax) with the case of keeping these only as frontend while using only one of them to co…
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Symbolic calculation Update
- [X] Symbolic reduction
- [x] Addition
- [X] Minus
- [x] Multiplication
- [x] Division
- [x] Symbolic reduction on function
- [x] Differentiation
- [X]…
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I am using wxMaxima for model evaluations, particularly calculation and plotting of equations and symbolic differentiation.
The problem I have is that I have to comment out numeric constants and plot…
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Hello, very nice project.
I've been looking for a relatively simple C library for expression parsing that also supported symbolic differentiation and happened to find your project. Your code seems pr…
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As in the title. I would like to do the following
```
@variables x s(x) C(s)
```
and define my own custom differentiation rule for the dependent variable, for instance that
```
ds/dx = x*s
```
…
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In some settings, it is desirable to use a user-defined rule rather than differentiating through a potentially complex (and maybe not symbolically traceable) computation graph. Examples include settin…
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I believe both should be False:
```python
>>> Derivative(f(x), t).has_free(t)
True
>>> t in Derivative(f(x), t).free_symbols
False
```
Identified [here](https://stackoverflow.com/q/78547166…
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Python version: 3.6.8
Sympy version: 1.4
The following program causes my entire computer to freeze for several minutes and ends with the python kernel being killed. It runs fine when 80000 is repl…
jmk84 updated
4 years ago
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CVODES currently uses "difference quotients" to estimate a quantity `(df/dy)*s + df/dp`, which it then integrates. The goal of this ticket is to calculate this quantity symbolically. The global approa…
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Hi @chakravala,
In your JuliaCon paper, I noticed the statement "Mixed-symmetry algebra with `Leibniz.jl` and `Grassmann.jl`, having the geometric algebraic product chain rule, yields automatic dif…