Derivative | Symbolic Differentiation with Elm | Math library

 by   joshuanianji Elm Version: Current License: No License

kandi X-RAY | Derivative Summary

kandi X-RAY | Derivative Summary

Derivative is a Elm library typically used in Utilities, Math, Latex applications. Derivative has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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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              Derivative has a low active ecosystem.
              It has 11 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Derivative has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Derivative is current.

            kandi-Quality Quality

              Derivative has 0 bugs and 0 code smells.

            kandi-Security Security

              Derivative has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Derivative code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Derivative does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Derivative releases are not available. You will need to build from source code and install.
              It has 50 lines of code, 0 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Derivative Key Features

            No Key Features are available at this moment for Derivative.

            Derivative Examples and Code Snippets

            No Code Snippets are available at this moment for Derivative.

            Community Discussions

            QUESTION

            Compiled C ODE gives different results to R's using deSolve
            Asked 2022-Mar-15 at 22:08

            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 11:01

            Compiled code does not give different results to deSolve models implemented in R, except potential rounding errors within the limits of atoland rtol.

            The reasons of the differences in the original post where two errors in the code. One can correct it as follows:

            1. Declare static double as parms[3]; instead of parms[4]
            2. Time t in derivs is a pointer, i.e. *t

            so that the code reads as:

            Source https://stackoverflow.com/questions/71453076

            QUESTION

            Scilab: How to use ´numderivative´ function
            Asked 2022-Feb-17 at 04:29
            • 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 of numderivative?

            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 08:46

            numderivative(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) :

            Source https://stackoverflow.com/questions/69059245

            QUESTION

            How to sort within a row of a data frame with categorical variables?
            Asked 2022-Jan-20 at 16:29

            I have this code:

            ...

            ANSWER

            Answered 2022-Jan-20 at 16:23

            This is definitely much easier with long data, so, at least in dplyr, one has to pivot_longer then pivot_wider back:

            Source https://stackoverflow.com/questions/70788259

            QUESTION

            How do I take the derivative of a line of best fit at a point without knowing the equation?
            Asked 2021-Dec-28 at 19:47

            Model:

            ...

            ANSWER

            Answered 2021-Dec-28 at 19:47

            If 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.

            Source https://stackoverflow.com/questions/70511208

            QUESTION

            Use ModelingToolkit.jl to eliminate a conserved quantity
            Asked 2021-Dec-25 at 10:11

            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 10:11

            The 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:

            Source https://stackoverflow.com/questions/70464031

            QUESTION

            Differentiating a multivariable function w.r.t different dimensions, using *args in python
            Asked 2021-Nov-20 at 17:26

            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 17:26

            You can treat args as a list, after converting it from tuple.

            Source https://stackoverflow.com/questions/70048069

            QUESTION

            python regex where a set of options can occur at most once in a list, in any order
            Asked 2021-Nov-03 at 10:04

            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 07:56

            You may use this regex with a capture group and a negative lookahead:

            For Perl, you can use this variant with forward referencing:

            Source https://stackoverflow.com/questions/69486648

            QUESTION

            Accuracy in Calculating Fourth Derivative using Finite Differences in Tensorflow
            Asked 2021-Sep-16 at 13:01

            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 13:01

            The issue is related to the choice of floating-point types.

            • tf.linspace automatically selects tf.float32 as its type, while
            • np.linspace creates a float64 array, which has much more precision.

            Making the following modification:

            Source https://stackoverflow.com/questions/69125173

            QUESTION

            Array Parsing & String Construction in Javascript
            Asked 2021-Sep-08 at 10:44

            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 10:21

            This if condition is useless. Because = is assignment and == is equality check.

            Source https://stackoverflow.com/questions/69101094

            QUESTION

            Substitution into differential equations in Maxima
            Asked 2021-Aug-08 at 14:02

            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 14:02

            You can consider this example (it illustrates what Robert Dodier wrote in comments).

            Source https://stackoverflow.com/questions/68517736

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Derivative

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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