![]() ![]() If you want to see what packages need to be installed on a Debian based system you may look at this ![]() The 3rd party requirements are as follows: The solvers and then their python bindings. To install the optional solvers you will first need to install third party libraries for The reason for why some tests are skipped should be because missing optional solvers. The above command should finish without errors but with some skipped tests. Of pyneqsys only requires SciPy: $ pip install pyneqsys If you used conda to install pyneqsys you can skip this section.īut if you use pip you may want to know that the default installation $ pytest -pyargs pyneqsys Optional dependencies Simplest way to install pyneqsys and its dependencies is through the conda package manager: $ conda install -c bjodah pyneqsys pytest (and the development version for the current master branch is found here: SymPy’s latex printer) from a single source‒no more error prone hand-rewriting of the sameĮquations in another format for presentation! DocumentationĪutogenerated API documentation for latest stable release is found here: Last, but not the least having a symbolic representation of your system of equationsĪllows you to generate publication quality latex representations of your equations (through Root-finding rather than using a least-square optimization of e.g. applying conservation laws) and want to solve the system by This is usful for when you have a overdetermined system (įormed from e.g. In addition to deriving the Jacobian analytically the symbolic representation can forĮxample apply row-reduce. The symbolic representation is usually in the form of SymPy expressions,īut the user may choose another symbolic back-end (see sym). This is useful since doing so manually is widely recognized as both tedious and error In addition to offering a unified interface to different solvers, pyneqsysĬan also derive the Jacobian analytically (when using pyneqsys.SymbolicSys). Levmar (Levenberg-Marquardt): levmar.levmar Nleq2 (ZIB library free for academic use): pynleq2.solve The numerical root finding is perfomed using either: Representing and solving non-linear equation systems from symbolic expressions Pyneqsys provides a convenience class for
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