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Update docs/src/catalyst_applications/jump_simulation_performance.md
Co-authored-by: Sam Isaacson <[email protected]>
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docs/src/catalyst_applications/jump_simulation_performance.md

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- Simulations over long time spans.
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- Simulations that are performed a large number of times.
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More throughout description of these types of simulations can be found in the literature [^1].
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A more thorough overview of simulation methods for Stochastic Chemical Kinetics jump process models and their computational efficiency is given in [^1].
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## Managing of solution saving
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By default, `solve` saves the value of the solution at the time of every jump. For simulations where a large number of jumps occur, this can cause memory to quickly fill up. Typically, for simulations with a large number of jumps, we want to [disable this feature](https://docs.sciml.ai/JumpProcesses/dev/tutorials/discrete_stochastic_example/#save_positions_docs) and instead set the save frequency manually. To exemplify this, let us consider a simple production/degradation model:

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