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feat(init_cond): +image
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content/14_initial_conditions.ipynb

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"1. Fixed i.e. the same number of patients for each replication.\n",
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"2. Random i.e. sampled from a discrete distribution specified by a user.\n",
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"In this notebook we will learn how to add initial conditions to a SimPy model. We will again use the acute stroke pathway model.\n",
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"In this notebook we will learn how to add initial conditions to a SimPy model. We will again use the acute stroke pathway model from the warm-up example notebook. Our initial conditions approach will load stroke patients to the queue before the simulation begins.\n",
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"\n",
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"<img src=\"img/acute_stroke_pathway.png\" alt=\"stroke pathway\" width=\"400\"/>\n",
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"\n",
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"\n",
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"## IMPORTANT: There is still an initialisation bias problem\n",
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"\n",

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