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src/radau.jl
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| # Use Netwon interation | ||
| # | ||
| # ⃗z^(k+1) = ⃗z ^ (k) - Δ⃗z^(k) | ||
| #TODO: use the transformation T^(-1)A^(-1)T = Λ, W^k = (T^-1 ⊕ I)Z^k |
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There is a function in Julia Base called "kron" which is Kronecker tensor product. Maybe this function is helpful to you.
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Yes indeed, this is very very helpful!!! Saves me from having to implement tensor product myself. Thanks.
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This is the performance issue that Polynomials package has. |
…au. Just need to do the actual trial steps and error/order controls
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| iterate = true | ||
| count = 0 | ||
| while iterate && count<=7 |
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Make into a separate function
Current coverage is 67.35% (diff: 0.00%)
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What is the status of this? Is there already a working RADAU solver for Julia? |
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Steadily growing implementation of Radau IIA solvers, as described by Harier et al in Solving Ordinary Differential Equations II