Installing desolver

desolver is a pure python module that builds upon the functionalities provided by numpy for a relatively efficient numerical integration library.

Furthermore, as desolver relies on autoray for the backend of array/tensors operations, desolver can easily extend to the use of other libraries such as pytorch, tensorflow, etc. in order to leverage accelerators and optimised gradient computation schemes for faster numerical integration.

With the use of libraries equipped with automatic differentiation, it is possible to compute the gradients of the integrated system.

To install desolver simply type:

pip install desolver

Refer to the following links for pytorch support. desolver` will automatically detect these modules and appropriately leverage their functionality.

Unlike versions prior to v5.0.0, desolver no longer requires specifying the backend manually and relies on autoray to automatically use the appropriate backend. Conversely, this puts the onus on the user to ensure that the functions remain pure pytorch or pure numpy, or to implement gradients of their function when necessary.

import desolver

To check that all went well fire-up your python console and try the example in quick-start example.