Nodepy

Latest version: v1.0.1

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1.0

=========================
- Improvements to low-storage RK methods (thanks to ranocha)
- Updates for compatibility with newer versions of Sympy
- Embedded pairs for SSP methods (thanks to ranocha)
- Some additional tests
- Many improvements to the documentation and examples, suggested by reviewer fruzsinaagocs
- NodePy no longer officially supports Python 2.x, although virtually everything still works in Python 2.7.

0.9

=========================
- Implicit extrapolation Runge-Kutta methods
- Updates for compatibility with Sympy
- Test for algebraic stability of RK methods
- Conversion from Shu-Osher to Butcher form now also works for implicit methods
- Add coefficients of two additional RK4(3) embedded pairs

0.8

=========================

- Compute E-polynomial for RK methods
- Plot step size controller stability for explicit RK pairs
- Now possible to integrate complex solutions
- Many new specific ODE methods added
- Fixed some bugs in generation of trees and order conditions of very high order
- Added some new example notebooks
- Compatibility with Matplotlib 3

0.7

=========================
*Released November 29, 2016*

- Support for Python 3 (thanks to Github user alexfikl)
- Dense output for Runge-Kutta methods.
- Removal of a circular dependency.

0.6.1

===========================
*Released May 14, 2015*

- Two algorithms for computing optimal downwind perturbations of Runge-Kutta methods. One relies on CVXPY for solving linear programs.
- The Numipedia project has been moved to its own repository: https://github.com/ketch/numipedia
- Many new doctests; >80% test coverage.
- Many improvements to the two-step RK module, including stability region plots for arbitrary methods.
- Three-step RK methods removed from master (because most of the module was not working).
- Pretty-printing of linear multistep methods.
- New methods:
- Several very-high-order RK methods
- Some singly diagonally-implicit RK methods
- Nystrom and Milne-Simpson families of multistep methods
- load_ivp() works similarly to load_RKM() (returns a dictionary).
- Improved computation of maximum linearly stable step sizes for semi-discretizations.
- Many bug fixes.

0.6

- Computation of optimal perturbations (splittings) of Runge-Kutta methods
- Additive linear multistep methods
- More accurate calculation of imaginary stability intervals
- Rational coefficients for more of the built-in RK methods
- Faster computation of stability polynomials
- More general deferred correction methods
- Fixed major bug in deferred correction method construction
- Continuous integration via Travis-CI
- Added information on citing nodepy
- Corrections to the documentation
- Updates for compatitibility with sympy 0.7.6
- Fixed bug involving non-existence of alphahat attribute
- minor bug fixes

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