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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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VariableRateJump with bounds improvements #278

Open isaacsas opened 1 year ago

isaacsas commented 1 year ago

Following on to https://github.com/SciML/JumpProcesses.jl/pull/276

  1. Allow passing cached urate, lrate and/or rate values to the time window function.
  2. Allow the algorithms to work if just an upper bound is given by bypassing the optimization that uses the lower bound when it is not present.