This is the Linux app named FiniteDifferences.jl whose latest release can be downloaded as v0.12.33sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named FiniteDifferences.jl with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
FiniteDifferences.jl
DESCRIPTION
FiniteDifferences.jl estimates derivatives with finite differences. See also the Python package FDM. FiniteDiff.jl and FiniteDifferences.jl are similar libraries: both calculate approximate derivatives numerically. You should definitely use one or the other, rather than the legacy Calculus.jl finite differencing, or reimplementing it yourself. At some point in the future, they might merge, or one might depend on the other.
Features
- FiniteDifferences.jl supports basically any type, whereas FiniteDiff.jl supports only array-ish types
- FiniteDifferences.jl supports higher order approximation and step size adaptation
- FiniteDiff.jl supports caching and in-place computation
- FiniteDiff.jl supports coloring vectors for efficient calculation of sparse Jacobians
- Finite difference methods are optimized to minimise allocations
- Multivariate Derivatives
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/finitedifferences-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
