Jump Problem Solvers
solve(prob::JumpProblem,alg;kwargs)
Recommended Methods
A JumpProblem(prob,aggregator,jumps...) come in two forms. The first major form is if it does not have a RegularJump. In this case, it can be solved with any integrator on prob. However, in the case of a pure JumpProblem (a JumpProblem over a DiscreteProblem), there are special algorithms available. The SSAStepper() is an efficient streamlined algorithm for running the aggregator version of the SSA for pure ConstantRateJump and/or MassActionJump problems. However, it is not compatible with event handling. If events are necessary, then FunctionMap does well.
If there is a RegularJump, then specific methods must be used. The current recommended method is SimpleTauLeaping.
Special Methods for Pure Jump Problems
If you are using jumps with a differential equations, use the same methods as in the case of the differential equation solving. However, the following algorithms are optimized for pure jump problems.
DiffEqJump.jl
SSAStepper: a stepping algorithm for pureConstantRateJumpand/orMassActionJumpJumpProblems. Does not support event handling, but does support saving controls likesaveat.
RegularJump Compatible Methods
DiffEqJump.jl
SimpleTauLeaping: a tau-leaping algorithm for pureRegularJumpJumpProblems. Requires a choice ofdt.RegularSSA: a version of SSA for pureRegularJumpJumpProblems.