[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: Reverse function numerically
From: |
Juan Pablo Carbajal |
Subject: |
Re: Reverse function numerically |
Date: |
Wed, 31 Jan 2018 17:25:47 +0100 |
The modeling function is what you want to find.
If f(x1,x2) is continuously differentiable (as your example) then
split the domain where det(J f) == 0 and obtain local inverses using
root finding (this exploits the existence of the inverse function
based on the implicit function theorem).
For each domain, make a unstructured triangular mesh and use 2D
polynomial interpolation. However since your inverse looks like a
rational function, maybe splines are a better option.
- Reverse function numerically, stn021, 2018/01/28
- Re: Reverse function numerically, stn021, 2018/01/28
- Re: Reverse function numerically, Steven Dorsher, 2018/01/28
- Message not available
- Message not available
- Re: Reverse function numerically, stn021, 2018/01/28
- Re: Reverse function numerically, Montgomery-Smith, Stephen, 2018/01/28
- Message not available
- Fwd: Reverse function numerically, Juan Pablo Carbajal, 2018/01/31
- Re: Reverse function numerically, stn021, 2018/01/31
- Re: Reverse function numerically,
Juan Pablo Carbajal <=
Re: Reverse function numerically, Montgomery-Smith, Stephen, 2018/01/31