Derivative | Symbolic Differentiation with Elm | Math library
kandi X-RAY | Derivative Summary
kandi X-RAY | Derivative Summary
This project, inspired by this Haskell blog post aims to provide symbolic differentiation along with user friendly input and output, via MathQuill.
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Trending Discussions on Derivative
QUESTION
I have an ODE which I would like to solve using compiled C code called from R's deSolve package. The ODE in question is I an exponential decay model (y'=-d* exp(g* time)*y): But running the compiled code from within R gives different results to R's native deSolve. It's as is there they are flipped 180º. What's going on?
C code implementation ...ANSWER
Answered 2022-Mar-13 at 11:01Compiled code does not give different results to deSolve models implemented in R, except potential rounding errors within the limits of atol
and rtol
.
The reasons of the differences in the original post where two errors in the code. One can correct it as follows:
- Declare
static double
asparms[3];
instead ofparms[4]
- Time
t
in derivs is a pointer, i.e.*t
so that the code reads as:
QUESTION
- I am a new user of
Scilab
and I am not a mathematician. - As my end goal, I want to calculate (and plot) the derivative of a piece-wise defined function, see here.
- I tried to start small and just use a simple (continuous) function:
f(x) = 3*x
. - My Google-Fu lead me to the numderivative function.
- Problem: It seems that I do not understand how the argument
x
works since the result is not a 1D-array, instead, it is a matrix. - Update 1: Maybe I use the wrong function and
diff
is the way to go. But what is then the purpose ofnumderivative
?
PS: Is this the right place to ask Scilab-related questions? It seems that there are several StackOverflow communities where Scilab-related questions are asked.
...ANSWER
Answered 2021-Sep-06 at 08:46numderivative(f,x) will give you the approximated derivative/Jacobian of f at the single vector x. For your example it yields 3 times the identity matrix, which is the expected result since f(x)=3*x. If you rather need the derivative of f considered as a function of a single scalar variable at x=1 and x=2, then numderivative is not convenient as you would have to make an explicit loop. Just code the formula yourself (here first order formula) :
QUESTION
I have this code:
...ANSWER
Answered 2022-Jan-20 at 16:23This is definitely much easier with long data, so, at least in dplyr
, one has to pivot_longer then pivot_wider back:
QUESTION
Model:
...ANSWER
Answered 2021-Dec-28 at 19:47If you want to do it without knowing the formula then that implies numeric differentiation. Now the input is missing from the question so let us use the example in the Note at the end so that it can actually be run -- next time please provide a complete runnable example. Then use numeric differentiation from the numDeriv package.
QUESTION
ModelingToolkit.jl
is such a great package that I frequently expect too much of it. For example, I often find myself with a model which boils down to the following:
ANSWER
Answered 2021-Dec-25 at 10:11The problem is that the system is unbalanced, i.e. there are more equations than there are states. In general it is impossible to prove that an overdetermined system of this sort is well-defined. Thus to solve it, you have to delete one of the equations. If you know the conservation law must hold true, then you can delete the second differential equation:
QUESTION
Following is my attempt to create a function to differentiate multivariable functions, but as you see it only seems to be able to differentiate with respect to the first positional argument (namely x). How can I extend this to be able to take partial derivatives with respect to y and z?
...ANSWER
Answered 2021-Nov-20 at 17:26You can treat args
as a list, after converting it from tuple.
QUESTION
I'm wondering if there's any way in python or perl to build a regex where you can define a set of options can appear at most once in any order. So for example I would like a derivative of foo(?: [abc])*
, where a
, b
, c
could only appear once. So:
ANSWER
Answered 2021-Oct-08 at 07:56You may use this regex with a capture group and a negative lookahead:
For Perl
, you can use this variant with forward referencing:
QUESTION
I am writing a small code to calculate the fourth derivative using the method of finite differences in tensorflow. This is as follows:
...ANSWER
Answered 2021-Sep-16 at 13:01The issue is related to the choice of floating-point types.
tf.linspace
automatically selectstf.float32
as its type, whilenp.linspace
creates afloat64
array, which has much more precision.
Making the following modification:
QUESTION
I think I am close but I would to get your feedback to solve this using a derivative of the code I have already created, I pass the following tests, but I am struggling to pass the final test as I need to return two middle names abbreviated, and at the moment I can only return the first. The tests below show the function and parameters passed, and the expected result its the last ione I am struggling with. I would appreciate your expert advice. Kind regards, Jon
...ANSWER
Answered 2021-Sep-08 at 10:21This if condition is useless. Because =
is assignment and ==
is equality check.
QUESTION
let's say I have several differential equations in the following form
where the variables in the pointed brackets are complex numbers for example
My question is whether it is possible in the Maxima to write down at first the set of the differential equations in the form mentioned above without evaluation the derivatives, then make the substitutions for the variables in the pointed brackets and after that evaluate the derivatives and separate the real and imaginary parts.
...ANSWER
Answered 2021-Aug-08 at 14:02You can consider this example (it illustrates what Robert Dodier wrote in comments).
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Install Derivative
Elm packages are available at elm-lang.org. If you are going to make HTTP requests, you may need elm/http and elm/json. You can get them set up in your project with the following commands: elm install elm/http and elm install elm/json. It adds these dependencies into your elm.json file, making these packages available in your project. Please refer guide.elm-lang.org for more information.
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