SciML / JumpProcesses.jl

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
https://docs.sciml.ai/JumpProcesses/stable/
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Fix ldiv! ambiguity on v1.9 #290

Closed ChrisRackauckas closed 1 year ago

ChrisRackauckas commented 1 year ago

Fixes https://github.com/SciML/JumpProcesses.jl/issues/289

coveralls commented 1 year ago

Pull Request Test Coverage Report for Build 4098241289


Files with Coverage Reduction New Missed Lines %
src/JumpProcesses.jl 1 0%
<!-- Total: 1 -->
Totals Coverage Status
Change from base Build 3984319264: 0.0%
Covered Lines: 1873
Relevant Lines: 2153

💛 - Coveralls
isaacsas commented 1 year ago

Does this mean we'll have to add this specialization for other factorization methods / types too?

ChrisRackauckas commented 1 year ago

It's just for the stiff ODE solves, which will always use LU here.

isaacsas commented 1 year ago

What about a sparse jacobian?