We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
What kind of problems is it mostly used for? Please describe.
Parameter continuation and homotopy path problems in PDE-land.
Describe the algorithm you’d like
Use OrdinaryDiffEqNonlinearSolve in ImplicitDiscreteSolve to (PID) control the step length with the help of Newton convergence rate estimates as proposed by https://link.springer.com/chapter/10.1007/978-3-642-23899-4_5
Other implementations to know about
Thunderbolt.jl has a custom time integrator with a custom solver and custom controller which we can upstream into OrdinaryDiffEq step by step.
References
Deuflhard, Newton Methods for Nonlinear Problems
The text was updated successfully, but these errors were encountered:
No branches or pull requests
What kind of problems is it mostly used for? Please describe.
Parameter continuation and homotopy path problems in PDE-land.
Describe the algorithm you’d like
Use OrdinaryDiffEqNonlinearSolve in ImplicitDiscreteSolve to (PID) control the step length with the help of Newton convergence rate estimates as proposed by https://link.springer.com/chapter/10.1007/978-3-642-23899-4_5
Other implementations to know about
Thunderbolt.jl has a custom time integrator with a custom solver and custom controller which we can upstream into OrdinaryDiffEq step by step.
References
Deuflhard, Newton Methods for Nonlinear Problems
The text was updated successfully, but these errors were encountered: