Related Issues (20)
- Initial step size
- Use Hermite interpolation for dense output and error estimate
- Add correct embedded method proposed by Fabien HOT 1
- Add weighting between embedded error and dense output error AS done by RADAR5 HOT 1
- Add markdown documentation for each example
- Add Robertson example to Readme and discussion both methods
- Solving index 2 DAEs: ValueError: array must not contain infs or NaNs HOT 3
- Add Andrew's squeezer mechanism
- Add sparse brusselator system example HOT 1
- Add step size `h` to `fun` and `jac` for optimal preconditioning.
- Add TR-BDF2 solver.
- Add Weissinger's problem to `consistent_initial_conditions` test and examples
- Enable `vectorization`. HOT 1
- Use `scipy.integrate._ivp.common.num_jac` if possible. HOT 1
- Improve tests and test coverage.
- Dense output for `yp`.
- Add `Radau` for `M y' = f(x, y)` since the error estimate is flawed for `F(x, y, y') = 0`
- Locate tests as done by scipy
- Build with `meson-python`
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from scipy_dae.